Rajiv Kumar
- Parasitology top 1%
- Parasites and Host Interactions 11
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- Research on Leishmaniasis Studies 56
- Malaria Research and Control 6
- Epidemiology top 5%
- Trypanosoma species research and implications 33
- Immunology top 5%
- Immune Cell Function and Interaction 14
- Toxin Mechanisms and Immunotoxins 5
- Rheumatology top 10%
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- Synthesis and Biological Evaluation 5
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- Nanoparticles: synthesis and applications 4
Rajiv Kumar
93 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Parasitology 396
- Public Health, Environmental and Occupational Health 1.8k
- Epidemiology 951
- Immunology 561
- Rheumatology 130
Countries citing papers authored by Rajiv Kumar
This map shows the geographic impact of Rajiv Kumar'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 Rajiv Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajiv Kumar more than expected).
Fields of papers citing papers by Rajiv Kumar
This network shows the impact of papers produced by Rajiv Kumar. 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 Rajiv Kumar. The network helps show where Rajiv Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajiv Kumar, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 18 | |
| 9 | 2021 | 20 | |
| 10 | Wound Pathophysiology: Insights of Ca2+ Signaling and Cellular Senescence Mechanisms in Healing, and Regeneration | 2021 | 1 |
| 11 | 2019 | 12 | |
| 12 | 2018 | 34 | |
| 13 | 2016 | 8 | |
| 14 | Molecular characterization of Pseudomonas sp. isolated from milk samples by using RAPD-PCR | 2014 | 4 |
| 15 | 2013 | 105 | |
| 16 | 2011 | 34 | |
| 17 | 2011 | 12 | |
| 18 | 2010 | 58 | |
| 19 | 2001 | 44 | |
| 20 | Platelet activating factor (PAF) stimulates the secretion of surfactant by rat type II cells with the same increment and time course as tetradecanol phorbol acetate (TPA) | 1986 | 0 |
About Rajiv Kumar
Rajiv Kumar is a scholar working on Public Health, Environmental and Occupational Health, Parasitology and Immunology, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (56 papers), Trypanosoma species research and implications (33 papers), Immune Cell Function and Interaction (14 papers), Parasites and Host Interactions (11 papers), Malaria Research and Control (6 papers), Synthesis and Biological Evaluation (5 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Nanoparticles: synthesis and applications (4 papers). The work is most often cited by research in Parasitology (396 citations), Public Health, Environmental and Occupational Health (1.8k citations) and Epidemiology (951 citations). Rajiv Kumar has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Susanne Nylén, Christian Engwerda, Shyam Sundar, David L. Sacks, Susanna S. Ng, Shalini Gautam, Kamlesh Gidwani, K. T. Parthiban, Madhukar Rai and Om Prakash Singh. Their work appears in journals such as The Journal of Immunology, PLoS ONE and The Journal of Infectious Diseases.
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.