Manoj Gambhir

5.1k citations
103 papers · 3.4k indexed · 1 hit paper · h-index 31
Topics
COVID-19 epidemiological studies (24 papers)Reproductive tract infections research (18 papers)Influenza Virus Research Studies (15 papers)

In The Last Decade

Manoj Gambhir

102 papers receiving 3.3k citations

Hit Papers

Estimates of the reproduction number for seasonal, pandem...20142026201820222014100200300

Peers

Manoj Gambhir
Comparison fields: 5 of 181
  • Infectious Diseases 1.1k
  • Epidemiology 959
  • Modeling and Simulation 603
  • Public Health, Environmental and Occupational Health 530
  • Microbiology 396
Replace Jong‐Koo Lee with:
Jong‐Koo Lee South Korea
Beate Sander Canada
Roberto Gasparini Italy
Donatella Panatto Italy
Daniela Amicizia Italy
Travis C. Porco United States
Marc Brisson Canada
Ricardo Arraes de Alencar Ximenes Brazil
Mike B. Gravenor United Kingdom
James W. Buehler United States
Manoj Gambhir relative to Jong‐Koo Lee South Korea Jong‐Koo Lee's profile →
Citations per field
00.5×8.6×
Jong‐Koo Lee · 1×
Citations per year

Countries citing papers authored by Manoj Gambhir

Since Specialization
Citations

This map shows the geographic impact of Manoj Gambhir's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Manoj Gambhir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Gambhir more than expected).

Fields of papers citing papers by Manoj Gambhir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manoj Gambhir. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Manoj Gambhir. The network helps show where Manoj Gambhir may publish in the future.

Co-authorship network of co-authors of Manoj Gambhir

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Gambhir. A scholar is included among the top collaborators of Manoj Gambhir based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manoj Gambhir. Manoj Gambhir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 33
2 3
3 3
4 8
5 23
6 23
7 41
8 21
9 8
10 11
11 11
12 46
13 17
14 88
15 109
16 69
17 77
18 67
19 43
20 7

About Manoj Gambhir

Manoj Gambhir is a scholar working on Modeling and Simulation, Microbiology and Infectious Diseases, having authored 103 papers that have together received 3.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (24 papers), Reproductive tract infections research (18 papers) and Influenza Virus Research Studies (15 papers). The work is most often cited by research in Modeling and Simulation (603 citations), Microbiology (396 citations) and Infectious Diseases (1.1k citations). Manoj Gambhir has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Simon Cauchemez, Matthew Biggerstaff, Carrie Reed, Lyn Finelli, Justin V. Remais, Edwin Michael, Radhika Dhingra, Jianyong Wu, María‐Gloria Basáñez and Martin T. Dove. Their work appears in journals such as Physical Review Letters, Nature Communications and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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