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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Microbiology 72 1745 1586 746 652 292 19322

Manjusha Gaglani publications per year

The chart shows the history of publications by Manjusha Gaglani between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Manjusha Gaglani published across 31 years, from 1995 to 2025, averaging 10 papers a year. Output peaked at 53 publications in 2022. 56 of the 311 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 53. Peak 53 publications in 2022. 1995: 1 publication 1996: 3 publications 1997: 1 publication 1998: 0 publications 1999: 1 publication 2000: 0 publications 2001: 2 publications 2002: 1 publication 2003: 0 publications 2004: 2 publications 2005: 2 publications 2006: 2 publications 2007: 2 publications 2008: 1 publication 2009: 0 publications 2010: 2 publications 2011: 1 publication 2012: 1 publication 2013: 5 publications 2014: 11 publications 2015: 12 publications 2016: 13 publications 2017: 9 publications 2018: 13 publications 2019: 11 publications 2020: 13 publications 2021: 47 publications 2022: 53 publications 2023: 46 publications 2024: 34 publications 2025: 22 publications
1995 2025

311 publications in total across all disciplines

View publications per year as a table
Manjusha Gaglani: publications per year, 1995 to 2025
Year Publications
1995 1
1996 3
1997 1
1998 0
1999 1
2000 0
2001 2
2002 1
2003 0
2004 2
2005 2
2006 2
2007 2
2008 1
2009 0
2010 2
2011 1
2012 1
2013 5
2014 11
2015 12
2016 13
2017 9
2018 13
2019 11
2020 13
2021 47
2022 53
2023 46
2024 34
2025 22
Total 311
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Manjusha Gaglani publication distribution in Microbiology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Microbiology in 2026. The highlighted bar marks where Manjusha Gaglani sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 64 bars. Horizontal axis: publications, 55–64 to 679+. Vertical axis: number of scientists, 0 to 288. Most scientists, 288, have 135–144 publications. The last bar groups every scientist with 679 publications or more. The highlighted bar, 285–294 publications, is where this scientist sits. 55–64 publications: 8 scientists 65–74 publications: 29 scientists 75–84 publications: 55 scientists 85–94 publications: 112 scientists 95–104 publications: 137 scientists 105–114 publications: 190 scientists 115–124 publications: 235 scientists 125–134 publications: 234 scientists 135–144 publications: 288 scientists 145–154 publications: 265 scientists 155–164 publications: 264 scientists 165–174 publications: 253 scientists 175–184 publications: 276 scientists 185–194 publications: 190 scientists 195–204 publications: 234 scientists 205–214 publications: 208 scientists 215–224 publications: 198 scientists 225–234 publications: 155 scientists 235–244 publications: 161 scientists 245–254 publications: 160 scientists 255–264 publications: 146 scientists 265–274 publications: 139 scientists 275–284 publications: 148 scientists 285–294 publications: 115 scientists 295–304 publications: 96 scientists 305–314 publications: 88 scientists 315–324 publications: 106 scientists 325–334 publications: 65 scientists 335–344 publications: 76 scientists 345–354 publications: 64 scientists 355–364 publications: 62 scientists 365–374 publications: 65 scientists 375–384 publications: 61 scientists 385–394 publications: 34 scientists 395–404 publications: 44 scientists 405–414 publications: 36 scientists 415–424 publications: 35 scientists 425–434 publications: 29 scientists 435–444 publications: 33 scientists 445–454 publications: 34 scientists 455–464 publications: 25 scientists 465–474 publications: 26 scientists 475–484 publications: 20 scientists 485–494 publications: 19 scientists 495–504 publications: 16 scientists 505–514 publications: 17 scientists 515–524 publications: 23 scientists 525–534 publications: 14 scientists 535–544 publications: 14 scientists 545–554 publications: 18 scientists 555–564 publications: 12 scientists 565–574 publications: 7 scientists 575–584 publications: 9 scientists 585–594 publications: 9 scientists 595–604 publications: 9 scientists 605–614 publications: 7 scientists 615–624 publications: 9 scientists 625–634 publications: 7 scientists 635–644 publications: 4 scientists 645–654 publications: 5 scientists 655–664 publications: 6 scientists 665–674 publications: 7 scientists 675–678 publications: 3 scientists 679+ publications: 99 scientists
55–64 publications 679+

This scientist: 292 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 679 publications or more.

View publications distribution as a table
Number of Microbiology scientists by publication count, Research.com 2026 ranking edition. Based on 5,513 ranked scientists.
Publications Scientists This scientist
55–64 8
65–74 29
75–84 55
85–94 112
95–104 137
105–114 190
115–124 235
125–134 234
135–144 288
145–154 265
155–164 264
165–174 253
175–184 276
185–194 190
195–204 234
205–214 208
215–224 198
225–234 155
235–244 161
245–254 160
255–264 146
265–274 139
275–284 148
285–294 115 292
295–304 96
305–314 88
315–324 106
325–334 65
335–344 76
345–354 64
355–364 62
365–374 65
375–384 61
385–394 34
395–404 44
405–414 36
415–424 35
425–434 29
435–444 33
445–454 34
455–464 25
465–474 26
475–484 20
485–494 19
495–504 16
505–514 17
515–524 23
525–534 14
535–544 14
545–554 18
555–564 12
565–574 7
575–584 9
585–594 9
595–604 9
605–614 7
615–624 9
625–634 7
635–644 4
645–654 5
655–664 6
665–674 7
675–678 3
679+ 99
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Manjusha Gaglani D-index placement in Microbiology in 2026

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

No. of scientists
50 100 150
Bar chart with 88 bars. Horizontal axis: D-Index, 40 to 127+. Vertical axis: number of scientists, 0 to 162. Most scientists, 162, have 58 D-Index. The last bar groups every scientist with 127 D-Index or more. The highlighted bar, 72 D-Index, is where this scientist sits. 40 D-Index: 30 scientists 41 D-Index: 86 scientists 42 D-Index: 90 scientists 43 D-Index: 117 scientists 44 D-Index: 122 scientists 45 D-Index: 123 scientists 46 D-Index: 108 scientists 47 D-Index: 110 scientists 48 D-Index: 106 scientists 49 D-Index: 109 scientists 50 D-Index: 129 scientists 51 D-Index: 111 scientists 52 D-Index: 116 scientists 53 D-Index: 127 scientists 54 D-Index: 134 scientists 55 D-Index: 134 scientists 56 D-Index: 112 scientists 57 D-Index: 136 scientists 58 D-Index: 162 scientists 59 D-Index: 151 scientists 60 D-Index: 139 scientists 61 D-Index: 123 scientists 62 D-Index: 126 scientists 63 D-Index: 144 scientists 64 D-Index: 109 scientists 65 D-Index: 103 scientists 66 D-Index: 124 scientists 67 D-Index: 112 scientists 68 D-Index: 103 scientists 69 D-Index: 131 scientists 70 D-Index: 94 scientists 71 D-Index: 93 scientists 72 D-Index: 96 scientists 73 D-Index: 92 scientists 74 D-Index: 80 scientists 75 D-Index: 66 scientists 76 D-Index: 87 scientists 77 D-Index: 60 scientists 78 D-Index: 73 scientists 79 D-Index: 59 scientists 80 D-Index: 57 scientists 81 D-Index: 55 scientists 82 D-Index: 47 scientists 83 D-Index: 77 scientists 84 D-Index: 50 scientists 85 D-Index: 45 scientists 86 D-Index: 42 scientists 87 D-Index: 41 scientists 88 D-Index: 32 scientists 89 D-Index: 38 scientists 90 D-Index: 35 scientists 91 D-Index: 34 scientists 92 D-Index: 27 scientists 93 D-Index: 26 scientists 94 D-Index: 33 scientists 95 D-Index: 22 scientists 96 D-Index: 37 scientists 97 D-Index: 22 scientists 98 D-Index: 21 scientists 99 D-Index: 22 scientists 100 D-Index: 30 scientists 101 D-Index: 16 scientists 102 D-Index: 20 scientists 103 D-Index: 17 scientists 104 D-Index: 19 scientists 105 D-Index: 16 scientists 106 D-Index: 19 scientists 107 D-Index: 18 scientists 108 D-Index: 14 scientists 109 D-Index: 10 scientists 110 D-Index: 9 scientists 111 D-Index: 7 scientists 112 D-Index: 11 scientists 113 D-Index: 6 scientists 114 D-Index: 15 scientists 115 D-Index: 10 scientists 116 D-Index: 12 scientists 117 D-Index: 7 scientists 118 D-Index: 10 scientists 119 D-Index: 10 scientists 120 D-Index: 11 scientists 121 D-Index: 2 scientists 122 D-Index: 7 scientists 123 D-Index: 12 scientists 124 D-Index: 5 scientists 125 D-Index: 9 scientists 126 D-Index: 6 scientists 127+ D-Index: 95 scientists
40 D-Index 127+

This scientist: 72 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 127 D-Index or more.

View D-Index distribution as a table
Number of Microbiology scientists by D-index, Research.com 2026 ranking edition. Based on 5,513 ranked scientists.
D-Index Scientists This scientist
40 30
41 86
42 90
43 117
44 122
45 123
46 108
47 110
48 106
49 109
50 129
51 111
52 116
53 127
54 134
55 134
56 112
57 136
58 162
59 151
60 139
61 123
62 126
63 144
64 109
65 103
66 124
67 112
68 103
69 131
70 94
71 93
72 96 72
73 92
74 80
75 66
76 87
77 60
78 73
79 59
80 57
81 55
82 47
83 77
84 50
85 45
86 42
87 41
88 32
89 38
90 35
91 34
92 27
93 26
94 33
95 22
96 37
97 22
98 21
99 22
100 30
101 16
102 20
103 17
104 19
105 16
106 19
107 18
108 14
109 10
110 9
111 7
112 11
113 6
114 15
115 10
116 12
117 7
118 10
119 10
120 11
121 2
122 7
123 12
124 5
125 9
126 6
127+ 95
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Overview

Manjusha Gaglani is affiliated with Baylor College of Medicine in the United States. Their research primarily focuses on the field of Medicine, with a significant number of publications in Infectious Diseases, Epidemiology, and Health. Additional subfields include Modeling and Simulation as well as Pulmonary and Respiratory Medicine.

Their work covers a range of main topics, emphasizing SARS-CoV-2 and COVID-19 research, vaccine coverage and hesitancy, and influenza virus research studies. Other notable research interests include respiratory viral infections, COVID-19 clinical research studies, COVID-19 epidemiological studies, and viral gastroenteritis research and epidemiology.

Gaglani's recent scientific papers include:

  • Interim Estimates of Vaccine Effectiveness of BNT162b2 and mRNA-1273 COVID-19 Vaccines in Preventing SARS-CoV-2 Infection Among Health Care Personnel, First Responders, and Other Essential and Frontline Workers - Eight U.S. Locations, December 2020-March 2021 (2021, MMWR Morbidity and Mortality Weekly Report)
  • Association Between mRNA Vaccination and COVID-19 Hospitalization and Disease Severity (2021, JAMA)
  • Clinical severity of, and effectiveness of mRNA vaccines against, covid-19 from omicron, delta, and alpha SARS-CoV-2 variants in the United States: prospective observational study (2022, BMJ)
  • Prevention and Attenuation of Covid-19 with the BNT162b2 and mRNA-1273 Vaccines (2021, New England Journal of Medicine)
  • Effectiveness of Covid-19 Vaccines in Ambulatory and Inpatient Care Settings (2021, New England Journal of Medicine)

Frequent coauthors collaborating with Gaglani include:

  • Emily T. Martin
  • Allison L. Naleway
  • Arnold S. Monto
  • Brendan Flannery
  • Kempapura Murthy

Common venues for publishing their research are diverse and include Clinical Infectious Diseases, MMWR Morbidity and Mortality Weekly Report, bioRxiv (Cold Spring Harbor Laboratory), The Journal of Infectious Diseases, and Open Forum Infectious Diseases.

Best Publications

  • Effectiveness of a Third Dose of mRNA Vaccines Against COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalizations Among Adults During Periods of Delta and Omicron Variant Predominance — VISION Network, 10 States, August 2021–January 2022

    Unknown

  • Clinical severity of, and effectiveness of mRNA vaccines against, covid-19 from omicron, delta, and alpha SARS-CoV-2 variants in the United States: prospective observational study

    Unknown

  • Association Between mRNA Vaccination and COVID-19 Hospitalization and Disease Severity.

    Mark W Tenforde;Wesley H Self;Katherine Adams;Manjusha Gaglani

  • Prevention and Attenuation of Covid-19 with the BNT162b2 and mRNA-1273 Vaccines.

    Mark G Thompson;Jefferey L Burgess;Allison L Naleway;Harmony Tyner

  • Effectiveness of Covid-19 Vaccines in Ambulatory and Inpatient Care Settings.

    Mark G Thompson;Edward Stenehjem;Shaun Grannis;Sarah W Ball

  • Comparative Effectiveness of Moderna, Pfizer-BioNTech, and Janssen (Johnson & Johnson) Vaccines in Preventing COVID-19 Hospitalizations Among Adults Without Immunocompromising Conditions - United States, March-August 2021.

    Wesley H. Self;Mark W. Tenforde;Jillian P. Rhoads;Manjusha Gaglani;Manjusha Gaglani

  • Influenza Vaccine Effectiveness in the 2011–2012 Season: Protection Against Each Circulating Virus and the Effect of Prior Vaccination on Estimates

    Suzanne E. Ohmit;Mark G. Thompson;Joshua G. Petrie;Swathi N. Thaker

  • Effectiveness of school-based influenza vaccination.

    James C. King;Jeffrey J. Stoddard;Manjusha J. Gaglani;Kristine A. Moore

  • Herd immunity in adults against influenza-related illnesses with use of the trivalent-live attenuated influenza vaccine (CAIV-T) in children.

    Pedro A. Piedra;Manjusha J. Gaglani;Claudia A. Kozinetz;Gayla Herschler

  • Influenza vaccine effectiveness in the United States during the 2015-2016 season.

    Michael L. Jackson;Jessie R. Chung;Lisa A. Jackson;C. Hallie Phillips

  • Effectiveness of COVID-19 Pfizer-BioNTech BNT162b2 mRNA Vaccination in Preventing COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalizations Among Nonimmunocompromised Children and Adolescents Aged 5–17 Years — VISION Network, 10 States, April 2021–January 2022

    Unknown

  • Influenza Vaccine Effectiveness in the United States During 2012–2013: Variable Protection by Age and Virus Type

    Huong Q. McLean;Mark G. Thompson;Maria E. Sundaram;Burney A. Kieke

  • Effects of Influenza Vaccination in the United States During the 2017-2018 Influenza Season.

    Melissa A Rolfes;Brendan Flannery;Jessie R Chung;Alissa O'Halloran

  • Effectiveness of 2-Dose BNT162b2 (Pfizer BioNTech) mRNA Vaccine in Preventing SARS-CoV-2 Infection Among Children Aged 5–11 Years and Adolescents Aged 12–15 Years — PROTECT Cohort, July 2021–February 2022

    Unknown

  • Waning of vaccine effectiveness against moderate and severe covid-19 among adults in the US from the VISION network: test negative, case-control study

    Unknown

  • Effectiveness of COVID-19 Vaccines in Preventing SARS-CoV-2 Infection Among Frontline Workers Before and During B.1.617.2 (Delta) Variant Predominance - Eight U.S. Locations, December 2020-August 2021.

    Ashley Fowlkes;Manjusha Gaglani;Kimberly Groover;Matthew S Thiese

  • 2014-2015 Influenza Vaccine Effectiveness in the United States by Vaccine Type.

    Richard K Zimmerman;Mary Patricia Nowalk;Jessie Chung;Michael L Jackson

  • Effectiveness of Pfizer-BioNTech and Moderna Vaccines Against COVID-19 Among Hospitalized Adults Aged ≥65 Years - United States, January-March 2021.

    Mark W. Tenforde;Samantha M. Olson;Wesley H. Self;H. Keipp Talbot

  • Early Estimates of Seasonal Influenza Vaccine Effectiveness — United States, January 2015

    Brendan Flannery;Jessie Clippard;Richard K. Zimmerman;Mary Patricia Nowalk

  • Sustained Effectiveness of Pfizer-BioNTech and Moderna Vaccines Against COVID-19 Associated Hospitalizations Among Adults - United States, March-July 2021.

    Mark W. Tenforde;Wesley H. Self;Eric A. Naioti;Adit A. Ginde

  • Interim Estimates of 2017-18 Seasonal Influenza Vaccine Effectiveness - United States, February 2018.

    Brendan Flannery;Jessie R. Chung;Edward A. Belongia;Huong Q. McLean

  • Spread of Antigenically Drifted Influenza A(H3N2) Viruses and Vaccine Effectiveness in the United States During the 2018-2019 Season.

    Brendan Flannery;Rebecca J Garten Kondor;Jessie R Chung;Manjusha Gaglani

  • Prevention and Attenuation of COVID-19 by BNT162b2 and mRNA-1273 Vaccines

    Mark G Thompson;Jefferey L Burgess;Allison Naleway;Harmony Tyner

  • Influenza Vaccine Effectiveness in the United States During the 2016–2017 Season

    Brendan Flannery;Jessie R Chung;Arnold S Monto;Emily T Martin

Frequent Co-Authors

Richard K. Zimmerman
Richard K. Zimmerman University of Pittsburgh
Arnold S. Monto
Arnold S. Monto University of Michigan–Ann Arbor
Edward A. Belongia
Edward A. Belongia Marshfield Clinic
Huong Q. McLean
Huong Q. McLean Marshfield Clinic
Brendan Flannery
Brendan Flannery Centers for Disease Control and Prevention
Lisa A. Jackson
Lisa A. Jackson Kaiser Permanente
Mary Patricia Nowalk
Mary Patricia Nowalk University of Pittsburgh
Emily T. Martin
Emily T. Martin University of Michigan–Ann Arbor
Alicia M. Fry
Alicia M. Fry Emory University
Manish M. Patel
Manish M. Patel Centers for Disease Control and Prevention

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