Pardeep Kumar
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Viral gastroenteritis research and epidemiology 4
- Antifungal resistance and susceptibility 2
-
- Escherichia coli research studies 4
- Co-authors
- Qingwei Luo (5 shared papers)James M. Fleckenstein (5 shared papers)Alaullah Sheikh (3 shared papers)Warren G. Lewis (2 shared papers)Tim J. Vickers (2 shared papers)David A. Rasko (1 shared paper)Jeticia R. Sistrunk (1 shared paper)F Kuhlmann (2 shared papers)
- Journals
- Infection and Immunity (4 papers)Eukaryotic Cell (1 paper)Current Opinion in Structural Biology (1 paper)American Journal of Tropical Medicine and Hygiene (1 paper)Indian Phytopathology (1 paper)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Pardeep Kumar
11 papers receiving 333 citations
Peers
Comparison fields: 5 of 59
- Endocrinology 188
- Molecular Medicine 72
- Infectious Diseases 171
- Food Science 70
- Epidemiology 55
Countries citing papers authored by Pardeep Kumar
This map shows the geographic impact of Pardeep 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 Pardeep Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pardeep Kumar more than expected).
Fields of papers citing papers by Pardeep Kumar
This network shows the impact of papers produced by Pardeep 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 Pardeep Kumar. The network helps show where Pardeep Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pardeep 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 | 2013 | 104 | |
| 2 | 2013 | 89 | |
| 3 | 2016 | 34 | |
| 4 | 2014 | 32 | |
| 5 | 2011 | 31 | |
| 6 | 2016 | 27 | |
| 7 | 2014 | 14 | |
| 8 | Effect of Euphorbia hirta leaf extract on immune system of poultry | 2006 | 2 |
| 9 | 2020 | 1 | |
| 10 | 2017 | 1 | |
| 11 | A comparative characterization of indigenous keratinase enzymes from district Khairpur, Sindh, Pakistan. | 2012 | 1 |
About Pardeep Kumar
Pardeep Kumar is a scholar working on Infectious Diseases, Endocrinology, Cell Biology, Epidemiology and Molecular Medicine, having authored 11 papers that have together received 336 indexed citations. Recurring topics across this work include Escherichia coli research studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Antifungal resistance and susceptibility (2 papers), Fungal Infections and Studies (2 papers), Bioactive natural compounds (1 paper), Bioactive Natural Diterpenoids Research (1 paper) and Curcumin's Biomedical Applications (1 paper). The work is most often cited by research in Endocrinology (188 citations), Molecular Medicine (72 citations), Infectious Diseases (171 citations), Food Science (70 citations) and Epidemiology (55 citations). Pardeep Kumar has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Qingwei Luo, James M. Fleckenstein, Alaullah Sheikh, Warren G. Lewis, Tim J. Vickers, David A. Rasko, Jeticia R. Sistrunk, F Kuhlmann, Tamara L. Doering and Brian C. Haynes. Their work appears in journals such as Infection and Immunity, Eukaryotic Cell, Current Opinion in Structural Biology, American Journal of Tropical Medicine and Hygiene and Indian Phytopathology.
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.