Manoj Gambhir
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 24
- Microbiology top 1%
- Reproductive tract infections research 18
- Infectious Diseases top 1%
- Viral Infections and Outbreaks Research 11
- Parasitic Diseases Research and Treatment 8
- Parasitology top 2%
- Parasites and Host Interactions 10
- Epidemiology top 5%
- Influenza Virus Research Studies 15
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- Mosquito-borne diseases and control 10
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- Parasite Biology and Host Interactions 10
- Co-authors
- Simon CauchemezMatthew BiggerstaffCarrie ReedLyn FinelliJustin V. RemaisEdwin MichaelRadhika DhingraJianyong Wu
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Manoj Gambhir
102 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Modeling and Simulation 603
- Microbiology 396
- Infectious Diseases 1.1k
- Parasitology 348
- Epidemiology 959
Countries citing papers authored by Manoj Gambhir
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
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
The 25 scholars most cited alongside Manoj Gambhir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 33 | |
| 2 | 2018 | 3 | |
| 3 | 2017 | 3 | |
| 4 | 2017 | 8 | |
| 5 | 2017 | 23 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 41 | |
| 8 | 2016 | 21 | |
| 9 | 2015 | 8 | |
| 10 | 2015 | 11 | |
| 11 | 2015 | 11 | |
| 12 | 2015 | 46 | |
| 13 | 2012 | 17 | |
| 14 | 2012 | 88 | |
| 15 | 2012 | 109 | |
| 16 | 2010 | 69 | |
| 17 | 2009 | 77 | |
| 18 | 2008 | 67 | |
| 19 | 2007 | 43 | |
| 20 | 1997 | 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), Influenza Virus Research Studies (15 papers), Viral Infections and Outbreaks Research (11 papers), Parasites and Host Interactions (10 papers), Mosquito-borne diseases and control (10 papers), Parasite Biology and Host Interactions (10 papers) and Parasitic Diseases Research and Treatment (8 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.