World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Immunology 72 2201 2022 1066 967 137 20986

Chang H. Kim publications per year

The chart shows the history of publications by Chang H. Kim between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chang H. Kim published across 31 years, from 1995 to 2025, averaging 5.2 papers a year. Output peaked at 12 publications in 1999. 15 of the 161 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 12. Peak 12 publications in 1999. 1995: 1 publication 1996: 1 publication 1997: 2 publications 1998: 5 publications 1999: 12 publications 2000: 2 publications 2001: 6 publications 2002: 3 publications 2003: 6 publications 2004: 3 publications 2005: 5 publications 2006: 5 publications 2007: 7 publications 2008: 3 publications 2009: 8 publications 2010: 3 publications 2011: 6 publications 2012: 2 publications 2013: 9 publications 2014: 3 publications 2015: 6 publications 2016: 5 publications 2017: 6 publications 2018: 6 publications 2019: 5 publications 2020: 5 publications 2021: 5 publications 2022: 9 publications 2023: 7 publications 2024: 8 publications 2025: 7 publications
1995 2025

161 publications in total across all disciplines

View publications per year as a table
Chang H. Kim: publications per year, 1995 to 2025
Year Publications
1995 1
1996 1
1997 2
1998 5
1999 12
2000 2
2001 6
2002 3
2003 6
2004 3
2005 5
2006 5
2007 7
2008 3
2009 8
2010 3
2011 6
2012 2
2013 9
2014 3
2015 6
2016 5
2017 6
2018 6
2019 5
2020 5
2021 5
2022 9
2023 7
2024 8
2025 7
Total 161
Download as CSV

Chang H. Kim 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 Chang H. Kim 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. The highlighted bar, 132–141 publications, is where this scientist sits. 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+

This scientist: 137 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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 This scientist
62–71 9
72–81 23
82–91 40
92–101 72
102–111 86
112–121 108
122–131 150
132–141 160 137
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
Download as CSV

Chang H. Kim 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 Chang H. Kim 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. The highlighted bar, 72–73 D-Index, is where this scientist sits. 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+

This scientist: 72 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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 This scientist
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 72
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
Download as CSV

Overview

Chang H. Kim is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on the interface of immunology, microbiology, and molecular biology, with an emphasis on the roles of gut microbiota and immune cell regulation.

The scientist has published extensively on topics related to immune cell function and interaction, gut microbiota and health, IL-33, ST2, and innate lymphoid cell (ILC) pathways, as well as research on Clostridium difficile and Clostridium perfringens. Additional areas of work include liver disease diagnosis and treatment, pediatric health and respiratory diseases, and eosinophilic esophagitis.

They have contributed to the following recent papers:

  • Control of lymphocyte functions by gut microbiota-derived short-chain fatty acids, 2021, Cellular and Molecular Immunology
  • Complex regulatory effects of gut microbial short-chain fatty acids on immune tolerance and autoimmunity, 2023, Cellular and Molecular Immunology
  • Dietary fiber metabolites regulate innate lymphoid cell responses, 2020, Mucosal Immunology
  • Regulation of common neurological disorders by gut microbial metabolites, 2021, Experimental & Molecular Medicine
  • The Butyrate-Producing Bacterium Clostridium butyricum Suppresses Clostridioides difficile Infection via Neutrophil- and Antimicrobial Cytokine-Dependent but GPR43/109a-Independent Mechanisms, 2021, The Journal of Immunology

Frequent co-authors include:

  • Leon Friesen
  • Seth S. Martin
  • Qingyang Liu
  • Nino Isakadze

The scientist's work has appeared regularly in several journals, with multiple publications in:

  • Cellular and Molecular Immunology
  • The Journal of Immunology
  • Circulation
  • Mucosal Immunology
  • Endocrine Research

Chang H. Kim's research contributions lie mainly within the fields of Medicine, Biochemistry, Genetics, and Molecular Biology, and Immunology and Microbiology. Subfields of emphasis include Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, and Surgery.

Best Publications

  • Short-chain fatty acids induce both effector and regulatory T cells by suppression of histone deacetylases and regulation of the mTOR-S6K pathway.

    Jeongho Park;Myunghoo Kim;Seung G. Kang;Amber Hopf Jannasch

  • Short-chain fatty acids activate GPR41 and GPR43 on intestinal epithelial cells to promote inflammatory responses in mice.

    Myung H. Kim;Seung G. Kang;Jeong H. Park;Masashi Yanagisawa

  • Cutting Edge: Direct Suppression of B Cells by CD4+CD25+ Regulatory T Cells

    Hyung W. Lim;Peter Hillsamer;Allison H. Banham;Chang H. Kim

  • Gut Microbial Metabolites Fuel Host Antibody Responses

    Myunghoo Kim;Yaqing Qie;Jeongho Park;Chang H. Kim

  • Subspecialization of Cxcr5+ T Cells: B Helper Activity Is Focused in a Germinal Center–Localized Subset of Cxcr5+ T Cells

    Chang H. Kim;Chang H. Kim;Lusijah S. Rott;Lusijah S. Rott;Ian Clark-Lewis;Daniel J. Campbell;Daniel J. Campbell

  • Gut Microbiota-Derived Short-Chain Fatty Acids, T Cells, and Inflammation

    Chang H. Kim;Jeongho Park;Myunghoo Kim

  • Rules of chemokine receptor association with T cell polarization in vivo

    Chang H. Kim;Lusijah Rott;Eric J. Kunkel;Mark C. Genovese

  • In Vitro Behavior of Hematopoietic Progenitor Cells Under the Influence of Chemoattractants: Stromal Cell–Derived Factor-1, Steel Factor, and the Bone Marrow Environment

    Chang H. Kim;Hal E. Broxmeyer

  • Chemokines: signal lamps for trafficking of T and B cells for development and effector function.

    Chang H. Kim;Hal E. Broxmeyer

  • Bonzo/CXCR6 expression defines type 1–polarized T-cell subsets with extralymphoid tissue homing potential

    Chang H. Kim;Eric J. Kunkel;Judie Boisvert;Brent Johnston

  • Chemokines in the systemic organization of immunity.

    Daniel J. Campbell;Chang H. Kim;Eugene C. Butcher;Eugene C. Butcher

  • CCR10 expression is a common feature of circulating and mucosal epithelial tissue IgA Ab-secreting cells

    Eric J. Kunkel;Chang H. Kim;Nicole H. Lazarus;Mark A. Vierra

  • Immune regulation by microbiome metabolites.

    Chang H. Kim

  • Vitamin A Metabolites Induce Gut-Homing FoxP3+ Regulatory T Cells

    Seung G. Kang;Hyung W. Lim;Ourania M. Andrisani;Hal E. Broxmeyer

  • Regulatory T cells can migrate to follicles upon T cell activation and suppress GC-Th cells and GC-Th cell-driven B cell responses

    Hyung W. Lim;Peter Hillsamer;Chang H. Kim

  • Trafficking machinery of NKT cells: shared and differential chemokine receptor expression among Vα24+Vβ11+ NKT cell subsets with distinct cytokine-producing capacity

    Chang H. Kim;Brent Johnston;Eugene C. Butcher

  • The roles of CCR6 in migration of Th17 cells and regulation of effector T-cell balance in the gut.

    Chuanwu Wang;Seung G. Kang;Jeeho Lee;Zuoming Sun

  • Control of lymphocyte functions by gut microbiota-derived short-chain fatty acids.

    Chang H. Kim

  • Human Th17 Cells Share Major Trafficking Receptors with Both Polarized Effector T Cells and FOXP3+ Regulatory T Cells

    Hyung W. Lim;Jeeho Lee;Peter Hillsamer;Chang H. Kim

  • Unique gene expression program of human germinal center T helper cells.

    Chang H. Kim;Hyung W. Lim;Jong R. Kim;Lusijah Rott

  • Codon optimization for high-level expression of human erythropoietin (EPO) in mammalian cells

    Chang H Kim;Younghoon Oh;Tae H Lee

Frequent Co-Authors

Hal E. Broxmeyer
Hal E. Broxmeyer Indiana University
Eugene C. Butcher
Eugene C. Butcher Stanford University
Giao Hangoc
Giao Hangoc Indiana University
Robert Hromas
Robert Hromas The University of Texas Health Science Center at San Antonio
Louis M. Pelus
Louis M. Pelus Indiana University
Scott Cooper
Scott Cooper Indiana University
Elizabeth J. Taparowsky
Elizabeth J. Taparowsky Purdue University West Lafayette
Mark H. Kaplan
Mark H. Kaplan Indiana University
Harm HogenEsch
Harm HogenEsch Purdue University West Lafayette
Euisik Yoon
Euisik Yoon University of Michigan–Ann Arbor

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Immunology, pursuing related online degrees can open doors to specialized healthcare roles, including advanced nursing practice. Many professionals explore the top pmhnp programs to specialize in psychiatric mental health, benefiting from programs with strong clinical placement rates.

Cost is a significant consideration when selecting a program. Prospective students often look for the cheapest psych np programs online to balance education quality with affordability. These programs provide accessible pathways to becoming psychiatric nurse practitioners without excessive financial burden.

After obtaining a Doctor of Nursing Practice (DNP) degree, nurses may explore various specialties. Understanding the highest paid dnp specialties can help guide career decisions toward roles that not only match interests but also offer competitive compensation.

Additionally, nurses planning career advancement might consider certification transitions. For example, the process to move from family nurse practitioner roles to more acute care focused positions is outlined clearly in resources about the fnp to acute care certification. These pathways ensure they meet clinical competencies and licensing requirements for new specialties.

Best Scientists Citing Chang H. Kim

Trending Scientists

Recently Published Articles