Dipika Gupta
Impact in
- Microbiology top 0.2%
- Antimicrobial Peptides and Activities
- Immunology top 0.5%
- Invertebrate Immune Response Mechanisms
- Immune Response and Inflammation
- Aquaculture disease management and microbiota
- Immune Cell Function and Interaction
Papers in
- Microbiology 23
- Antimicrobial Peptides and Activities 23
-
- Vibrio bacteria research studies 6
- Co-authors
- Roman DziarskiXinna LiDes R. KashyapShin Yong ParkJulien RoyetZhaojun XuQiuling WangChao Liu
- Journals
- The Journal of Immunology (10 papers)Journal of Biological Chemistry (6 papers)Scientific Reports (4 papers)Infection and Immunity (4 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Dipika Gupta
52 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 123
- Microbiology 1.1k
- Immunology 2.7k
- Endocrinology 272
- Insect Science 456
- Molecular Medicine 118
Countries citing papers authored by Dipika Gupta
This map shows the geographic impact of Dipika Gupta'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 Dipika Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipika Gupta more than expected).
Fields of papers citing papers by Dipika Gupta
This network shows the impact of papers produced by Dipika Gupta. 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 Dipika Gupta. The network helps show where Dipika Gupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dipika Gupta, 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 | How innate immunity proteins kill bacteria and why they are not prone to resistance | 2018 | 1 |
| 2 | Bactericidal peptidoglycan recognition protein induces oxidative stress in Escherichia coli through a block in respiratory chain and increase in central carbon catabolism | 2017 | 1 |
| 3 | 2013 | 26 | |
| 4 | 2012 | 37 | |
| 5 | 2011 | 293 | |
| 6 | 2011 | 126 | |
| 7 | 2011 | 43 | |
| 8 | 2010 | 108 | |
| 9 | 2009 | 84 | |
| 10 | 2007 | 103 | |
| 11 | 2007 | 119 | |
| 12 | 2006 | 31 | |
| 13 | 2006 | 279 | |
| 14 | 2005 | 192 | |
| 15 | 2005 | 187 | |
| 16 | 2005 | 74 | |
| 17 | 2001 | 65 | |
| 18 | 2001 | 343 | |
| 19 | 1999 | 61 | |
| 20 | 1999 | 77 |
About Dipika Gupta
Dipika Gupta is a scholar working on Microbiology, Endocrinology, Immunology, Emergency Medical Services and Molecular Medicine, having authored 53 papers that have together received 4.4k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (23 papers), Immune Response and Inflammation (18 papers), Invertebrate Immune Response Mechanisms (16 papers), Aquaculture disease management and microbiota (12 papers), Bacterial Genetics and Biotechnology (7 papers), Vibrio bacteria research studies (6 papers), Pediatric health and respiratory diseases (6 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Microbiology (1.1k citations), Immunology (2.7k citations), Endocrinology (272 citations), Insect Science (456 citations) and Molecular Medicine (118 citations). Dipika Gupta has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Roman Dziarski, Xinna Li, Des R. Kashyap, Shin Yong Park, Julien Royet, Zhaojun Xu, Qiuling Wang, Chao Liu, Min Hui Wang and Carsten J. Kirschning. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Scientific Reports, Infection and Immunity 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.