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Marcia L. Kalish

Marcia L. Kalish publications per year

The chart shows the history of publications by Marcia L. Kalish between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Marcia L. Kalish published across 34 years, from 1992 to 2025, averaging 2.1 papers a year. Output peaked at 5 publications in 1997. 1 of the 72 publications appeared in the last two years.

No. of publications
1 2 3 4 5
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 5. Peak 5 publications in 1997. 1992: 2 publications 1993: 2 publications 1994: 3 publications 1995: 3 publications 1996: 2 publications 1997: 5 publications 1998: 3 publications 1999: 5 publications 2000: 3 publications 2001: 4 publications 2002: 4 publications 2003: 1 publication 2004: 2 publications 2005: 4 publications 2006: 4 publications 2007: 1 publication 2008: 1 publication 2009: 1 publication 2010: 0 publications 2011: 0 publications 2012: 1 publication 2013: 2 publications 2014: 3 publications 2015: 3 publications 2016: 3 publications 2017: 1 publication 2018: 1 publication 2019: 2 publications 2020: 2 publications 2021: 0 publications 2022: 2 publications 2023: 1 publication 2024: 0 publications 2025: 1 publication
1992 2025

72 publications in total across all disciplines

View publications per year as a table
Marcia L. Kalish: publications per year, 1992 to 2025
Year Publications
1992 2
1993 2
1994 3
1995 3
1996 2
1997 5
1998 3
1999 5
2000 3
2001 4
2002 4
2003 1
2004 2
2005 4
2006 4
2007 1
2008 1
2009 1
2010 0
2011 0
2012 1
2013 2
2014 3
2015 3
2016 3
2017 1
2018 1
2019 2
2020 2
2021 0
2022 2
2023 1
2024 0
2025 1
Total 72
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Marcia L. Kalish publication distribution in Immunology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Immunology in 2026. The highlighted bar marks where Marcia L. Kalish sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 76 bars. Horizontal axis: publications, 62–71 to 807+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 152–161 publications. The last bar groups every scientist with 807 publications or more. 62–71 publications: 9 scientists 72–81 publications: 23 scientists 82–91 publications: 40 scientists 92–101 publications: 72 scientists 102–111 publications: 86 scientists 112–121 publications: 108 scientists 122–131 publications: 150 scientists 132–141 publications: 160 scientists 142–151 publications: 159 scientists 152–161 publications: 189 scientists 162–171 publications: 166 scientists 172–181 publications: 181 scientists 182–191 publications: 188 scientists 192–201 publications: 187 scientists 202–211 publications: 178 scientists 212–221 publications: 158 scientists 222–231 publications: 168 scientists 232–241 publications: 159 scientists 242–251 publications: 160 scientists 252–261 publications: 148 scientists 262–271 publications: 116 scientists 272–281 publications: 125 scientists 282–291 publications: 115 scientists 292–301 publications: 111 scientists 302–311 publications: 95 scientists 312–321 publications: 97 scientists 322–331 publications: 97 scientists 332–341 publications: 99 scientists 342–351 publications: 96 scientists 352–361 publications: 69 scientists 362–371 publications: 76 scientists 372–381 publications: 71 scientists 382–391 publications: 71 scientists 392–401 publications: 62 scientists 402–411 publications: 54 scientists 412–421 publications: 41 scientists 422–431 publications: 63 scientists 432–441 publications: 53 scientists 442–451 publications: 31 scientists 452–461 publications: 42 scientists 462–471 publications: 40 scientists 472–481 publications: 29 scientists 482–491 publications: 34 scientists 492–501 publications: 30 scientists 502–511 publications: 23 scientists 512–521 publications: 41 scientists 522–531 publications: 29 scientists 532–541 publications: 28 scientists 542–551 publications: 16 scientists 552–561 publications: 18 scientists 562–571 publications: 18 scientists 572–581 publications: 17 scientists 582–591 publications: 17 scientists 592–601 publications: 17 scientists 602–611 publications: 19 scientists 612–621 publications: 13 scientists 622–631 publications: 12 scientists 632–641 publications: 11 scientists 642–651 publications: 16 scientists 652–661 publications: 9 scientists 662–671 publications: 5 scientists 672–681 publications: 13 scientists 682–691 publications: 12 scientists 692–701 publications: 6 scientists 702–711 publications: 6 scientists 712–721 publications: 9 scientists 722–731 publications: 9 scientists 732–741 publications: 6 scientists 742–751 publications: 11 scientists 752–761 publications: 10 scientists 762–771 publications: 7 scientists 772–781 publications: 12 scientists 782–791 publications: 7 scientists 792–801 publications: 5 scientists 802–806 publications: 1 scientist 807+ publications: 100 scientists
62–71 publications 807+

The last bar groups every scientist with 807 publications or more.

View publications distribution as a table
Number of Immunology scientists by publication count, Research.com 2026 ranking edition. Based on 4,929 ranked scientists.
Publications Scientists
62–71 9
72–81 23
82–91 40
92–101 72
102–111 86
112–121 108
122–131 150
132–141 160
142–151 159
152–161 189
162–171 166
172–181 181
182–191 188
192–201 187
202–211 178
212–221 158
222–231 168
232–241 159
242–251 160
252–261 148
262–271 116
272–281 125
282–291 115
292–301 111
302–311 95
312–321 97
322–331 97
332–341 99
342–351 96
352–361 69
362–371 76
372–381 71
382–391 71
392–401 62
402–411 54
412–421 41
422–431 63
432–441 53
442–451 31
452–461 42
462–471 40
472–481 29
482–491 34
492–501 30
502–511 23
512–521 41
522–531 29
532–541 28
542–551 16
552–561 18
562–571 18
572–581 17
582–591 17
592–601 17
602–611 19
612–621 13
622–631 12
632–641 11
642–651 16
652–661 9
662–671 5
672–681 13
682–691 12
692–701 6
702–711 6
712–721 9
722–731 9
732–741 6
742–751 11
752–761 10
762–771 7
772–781 12
782–791 7
792–801 5
802–806 1
807+ 100
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Marcia L. Kalish D-index placement in Immunology in 2026

The chart shows the D-index (discipline H-index) distribution of Immunology scientists ranked by Research.com in 2026. The highlighted bar marks where Marcia L. Kalish sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 60 bars. Horizontal axis: D-Index, 40–41 to 157+. Vertical axis: number of scientists, 0 to 201. Most scientists, 201, have 58–59 D-Index. The last bar groups every scientist with 157 D-Index or more. 40–41 D-Index: 28 scientists 42–43 D-Index: 91 scientists 44–45 D-Index: 157 scientists 46–47 D-Index: 192 scientists 48–49 D-Index: 175 scientists 50–51 D-Index: 188 scientists 52–53 D-Index: 177 scientists 54–55 D-Index: 155 scientists 56–57 D-Index: 194 scientists 58–59 D-Index: 201 scientists 60–61 D-Index: 197 scientists 62–63 D-Index: 201 scientists 64–65 D-Index: 173 scientists 66–67 D-Index: 167 scientists 68–69 D-Index: 172 scientists 70–71 D-Index: 199 scientists 72–73 D-Index: 184 scientists 74–75 D-Index: 133 scientists 76–77 D-Index: 163 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 125 scientists 84–85 D-Index: 121 scientists 86–87 D-Index: 102 scientists 88–89 D-Index: 96 scientists 90–91 D-Index: 75 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 74 scientists 96–97 D-Index: 66 scientists 98–99 D-Index: 68 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 60 scientists 104–105 D-Index: 54 scientists 106–107 D-Index: 36 scientists 108–109 D-Index: 23 scientists 110–111 D-Index: 52 scientists 112–113 D-Index: 41 scientists 114–115 D-Index: 34 scientists 116–117 D-Index: 25 scientists 118–119 D-Index: 28 scientists 120–121 D-Index: 11 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 19 scientists 128–129 D-Index: 20 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 17 scientists 134–135 D-Index: 14 scientists 136–137 D-Index: 15 scientists 138–139 D-Index: 9 scientists 140–141 D-Index: 11 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 9 scientists 146–147 D-Index: 7 scientists 148–149 D-Index: 7 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 5 scientists 154–155 D-Index: 8 scientists 156 D-Index: 6 scientists 157+ D-Index: 96 scientists
40–41 D-Index 157+

The last bar groups every scientist with 157 D-Index or more.

View D-Index distribution as a table
Number of Immunology scientists by D-index, Research.com 2026 ranking edition. Based on 4,929 ranked scientists.
D-Index Scientists
40–41 28
42–43 91
44–45 157
46–47 192
48–49 175
50–51 188
52–53 177
54–55 155
56–57 194
58–59 201
60–61 197
62–63 201
64–65 173
66–67 167
68–69 172
70–71 199
72–73 184
74–75 133
76–77 163
78–79 127
80–81 121
82–83 125
84–85 121
86–87 102
88–89 96
90–91 75
92–93 72
94–95 74
96–97 66
98–99 68
100–101 49
102–103 60
104–105 54
106–107 36
108–109 23
110–111 52
112–113 41
114–115 34
116–117 25
118–119 28
120–121 11
122–123 20
124–125 27
126–127 19
128–129 20
130–131 16
132–133 17
134–135 14
136–137 15
138–139 9
140–141 11
142–143 9
144–145 9
146–147 7
148–149 7
150–151 7
152–153 5
154–155 8
156 6
157+ 96
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Overview

Marcia L. Kalish is affiliated with the Centers for Disease Control and Prevention in the United States. Their research primarily focuses on fields related to Immunology and Microbiology, Medicine, and Biochemistry, Genetics and Molecular Biology. Subfields of interest include Virology, Infectious Diseases, Molecular Biology, Epidemiology, and Agronomy and Crop Science.

The scientist's work covers several main research topics such as HIV Research and Treatment, HIV/AIDS Research and Interventions, Genomics and Phylogenetic Studies, HIV/AIDS drug development and treatment, Data-Driven Disease Surveillance, Animal Disease Management and Epidemiology, and Gut microbiota and health.

Marcia L. Kalish has coauthored multiple papers with frequent collaborators including Art F. Y. Poon, Joshua T. Herbeck, Connor Chato, Feng Gao, and Yuhua Ruan.

Key publication venues for their research include The Lancet HIV, Virus Evolution, PLoS Computational Biology, bioRxiv (Cold Spring Harbor Laboratory), and UNC Libraries.

Some recent papers authored or coauthored by Marcia L. Kalish are:

  • Global and regional epidemiology of HIV-1 recombinants in 1990-2015: a systematic review and global survey (2020) published in The Lancet HIV
  • Public health in genetic spaces: a statistical framework to optimize cluster-based outbreak detection (2020) published in Virus Evolution
  • Optimized phylogenetic clustering of HIV-1 sequence data for public health applications (2022) published in PLoS Computational Biology
  • Optimized phylogenetic clustering of HIV-1 sequence data for public health applications (2022) published in bioRxiv (Cold Spring Harbor Laboratory)
  • HIV-1 Transmission Clustering and Phylodynamics Highlight the Important Role of Young Men Who Have Sex with Men (2025) published in UNC Libraries

Best Publications

  • HIV-1 Nomenclature Proposal

    DL Robertson;JP Anderson;JA Bradac;JK Carr

  • Neutralizing antibody-independent containment of immunodeficiency virus challenges by DNA priming and recombinant pox virus booster immunizations.

    H L Robinson;D C Montefiori;R P Johnson;K H Manson

  • Global and regional molecular epidemiology of HIV-1, 1990–2015: a systematic review, global survey, and trend analysis

    Joris Hemelaar;Ramyiadarsini Elangovan;Jason Yun;Leslie Dickson-Tetteh

  • Independent introduction of two major HIV-1 genotypes into distinct high-risk populations in Thailand

    C.-Y. Ou;B.G. Weniger;C.-C. Luo;M.L. Kalish

  • The emerging genetic diversity of HIV. The importance of global surveillance for diagnostics, research, and prevention.

    D. J. Hu;T. J. Dondero;M. A. Rayfield;J. R. George

  • The evolving molecular epidemiology of HIV-1 envelope subtypes in injecting drug users in Bangkok, Thailand: implications for HIV vaccine trials.

    Kalish Ml;Baldwin A;Raktham S;Wasi C

  • Maternal viral load and timing of mother-to-child HIV transmission Bangkok Thailand.

    Philip A. Mock;Nathan Shaffer;Chaiporn Bhadrakom;Wimol Siriwasin

  • Chimpanzee adenovirus antibodies in humans, sub-Saharan Africa.

    Zhiquan Xiang;Yan Li;Ann Cun;Wei Yang

  • Near full-length clones and reference sequences for subtype C isolates of HIV type 1 from three different continents.

    Cynthia M. Rodenburg;Yingying Li;Stanley A. Trask;Yalu Chen

  • Alternative Algorithms for Human Immunodeficiency Virus Infection Diagnosis Using Tests That Are Licensed in the United States

    S. M. Owen;C. Yang;T. Spira;C. Y. Ou

  • Determination of HIV-1 subtypes in injecting drug users in Bangkok, Thailand, using peptide-binding enzyme immunoassay and heteroduplex mobility assay: evidence of increasing infection with HIV-1 subtype E.

    Wasi C;Herring B;Raktham S;Vanichseni S

  • The effect of maternal viral load on the risk of perinatal transmission of HIV-1

    Donald M. Thea;Richard W. Steketee;Vadim Pliner;Katherine Bornschlegel

  • Maternal Virus Load and Perinatal Human Immunodeficiency Virus Type 1 Subtype E Transmission, Thailand

    Nathan Shaffer;Anuvat Roongpisuthipong;Wimol Siriwasin;Tawee Chotpitayasunondh

  • HIV Type 1 in Thailand, 1994–1995: Persistence of Two Subtypes with Low Genetic Diversity

    Shambavi Subbarao;Khanchit Limpakarnjanarat;Timothy D. Mastro;Jakriss Bhumisawasdi

  • U.S. Human Immunodeficiency Virus Type 1 Epidemic: Date of Origin, Population History, and Characterization of Early Strains

    Kenneth E. Robbins;Philippe Lemey;Oliver G. Pybus;Harold W. Jaffe

  • Subtype G and multiple forms of A/G intersubtype recombinant human immunodeficiency virus type 1 in Nigeria.

    Francine E. McCutchan;Jean K. Carr;Mary Bajani;Eric Sanders-Buell

  • Association of Human Immunodeficiency Virus (HIV) Load Early in Life with Disease Progression among HIV-Infected Infants

    Elaine J. Abrams;Jeremy Weedon;Richard W. Steketee;Genevieve Lambert

  • Wide distribution of two subtypes of HIV-1 in Thailand.

    Ou Cy;Takebe Y;Luo Cc;Kalish M

  • Early Detection of Perinatal Human Immunodeficiency Virus (HIV) Type 1 Infection Using HIV RNA Amplification and Detection

    Richard W. Steketee;Elaine J. Abrams;Donald M. Thea;Teresa M. Brown

  • Failure of routine HIV-1 tests in a case involving transmission with preseroconversion blood components during the infectious window period.

    Ai Ee Ling;Kenneth E. Robbins;Teresa M. Brown;Valerie Dunmire

Frequent Co-Authors

Thomas M. Folks
Thomas M. Folks Centers for Disease Control and Prevention
Gerald Schochetman
Gerald Schochetman Centers for Disease Control and Prevention
Timothy D. Mastro
Timothy D. Mastro Family Health International 360
feng gao
feng gao Duke University
James I. Mullins
James I. Mullins University of Washington
Gerald H. Learn
Gerald H. Learn University of Pennsylvania
Amilcar Tanuri
Amilcar Tanuri Federal University of Rio de Janeiro
Francine E. McCutchan
Francine E. McCutchan Columbia University
Bette T. Korber
Bette T. Korber Los Alamos National Laboratory
Beatrice H. Hahn
Beatrice H. Hahn University of Pennsylvania

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Related Online Degrees & Career Pathways

For those interested in immunology, pursuing related online degrees can open various career pathways in healthcare and research. Many students transition into nursing roles, which complement immunology knowledge by providing direct patient care and clinical experience.

Accelerated programs, such as accelerated np programs, offer a fast-track route for those with a bachelor’s degree seeking advanced practice roles. These programs emphasize hands-on skills alongside immunology principles.

For individuals without a nursing background, online absn programs for non nurses provide an accessible path to enter the nursing field and build a solid foundation in human biology and immune system function.

If ease of admission is a priority, exploring the easiest absn to get into can help prospective students start their careers sooner. Similarly, practical nursing offers quicker entry via the best easiest lpn programs to get into, helping you gain essential clinical experience that complements immunology studies.

These online degree options provide flexibility for students balancing other commitments while advancing their education in immunology-related healthcare fields.

Best Scientists Citing Marcia L. Kalish

Martine Peeters

Martine Peeters

Institut de Recherche pour le Développement

Publications: 66

Yutaka Takebe

Yutaka Takebe

National Institute of Infectious Diseases

Publications: 60

Bette T. Korber

Bette T. Korber

Los Alamos National Laboratory

Publications: 56

Michael P. Busch

Michael P. Busch

University of California, San Francisco

Publications: 49

Eric Delaporte

Eric Delaporte

University of Montpellier

Publications: 48

Timothy D. Mastro

Timothy D. Mastro

Family Health International 360

Publications: 47

Amilcar Tanuri

Amilcar Tanuri

Federal University of Rio de Janeiro

Publications: 47

Deborah L. Birx

Deborah L. Birx

Centers for Disease Control and Prevention

Publications: 47

Anne-Mieke Vandamme

Anne-Mieke Vandamme

Rega Institute for Medical Research

Publications: 43

Francine E. McCutchan

Francine E. McCutchan

Columbia University

Publications: 39

James I. Mullins

James I. Mullins

University of Washington

Publications: 38

Hildegund C. J. Ertl

Hildegund C. J. Ertl

The Wistar Institute

Publications: 31

Thomas C. Quinn

Thomas C. Quinn

Johns Hopkins University

Publications: 30

Jaap Goudsmit

Jaap Goudsmit

Harvard University

Publications: 29

Beatrice H. Hahn

Beatrice H. Hahn

University of Pennsylvania

Publications: 28

Brian Foley

Brian Foley

Los Alamos National Laboratory

Publications: 27

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