Katherine Lamba
Impact in
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- Escherichia coli research studies
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- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 4
- COVID-19 Clinical Research Studies 2
- Viral gastroenteritis research and epidemiology 2
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- Salmonella and Campylobacter epidemiology 4
- Food Safety and Hygiene 3
- Co-authors
- Megha Mehrotra (6 shared papers)Rashida Hassan (2 shared papers)Esther Lim (6 shared papers)James Watt (2 shared papers)Amanda Kamali (4 shared papers)Seema Jain (5 shared papers)Gregory B. Inami (1 shared paper)Molly Leeper (1 shared paper)
- Journals
- Epidemiology and Infection (2 papers)MMWR Morbidity and Mortality Weekly Report (2 papers)Open Forum Infectious Diseases (2 papers)Vaccine (1 paper)American Journal of Epidemiology (1 paper)
- Partner nations
- United StatesZambia
In The Last Decade
Katherine Lamba
12 papers receiving 128 citations
Peers
Comparison fields: 5 of 52
- Endocrinology 27
- Infectious Diseases 71
- Modeling and Simulation 9
- Food Science 33
- Biotechnology 13
Countries citing papers authored by Katherine Lamba
This map shows the geographic impact of Katherine Lamba'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 Katherine Lamba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Lamba more than expected).
Fields of papers citing papers by Katherine Lamba
This network shows the impact of papers produced by Katherine Lamba. 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 Katherine Lamba. The network helps show where Katherine Lamba may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine Lamba, 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 | 2016 | 27 | |
| 2 | 2019 | 24 | |
| 3 | 2020 | 20 | |
| 4 | 2021 | 16 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 10 | |
| 7 | 2018 | 7 | |
| 8 | 2016 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 1 | |
| 12 | A study on environment and morbidity in an urban area. | 1969 | 1 |
| 13 | 2024 | 0 |
About Katherine Lamba
Katherine Lamba is a scholar working on Infectious Diseases, Food Science, Biotechnology, Modeling and Simulation and Critical Care and Intensive Care Medicine, having authored 13 papers that have together received 130 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Salmonella and Campylobacter epidemiology (4 papers), SARS-CoV-2 detection and testing (4 papers), Food Safety and Hygiene (3 papers), Listeria monocytogenes in Food Safety (2 papers), COVID-19 epidemiological studies (2 papers), COVID-19 Clinical Research Studies (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Endocrinology (27 citations), Infectious Diseases (71 citations), Modeling and Simulation (9 citations), Food Science (33 citations) and Biotechnology (13 citations). Katherine Lamba has collaborated with scholars based in United States and Zambia. Frequent co-authors include Megha Mehrotra, Rashida Hassan, Esther Lim, James Watt, Amanda Kamali, Seema Jain, Gregory B. Inami, Molly Leeper, Laura N. Cruz and D’Ann L. Williams. Their work appears in journals such as Epidemiology and Infection, MMWR Morbidity and Mortality Weekly Report, Open Forum Infectious Diseases, Vaccine and American Journal of Epidemiology.
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.