Deepika Jain

77 papers receiving 1.4k citations

Peers

Deepika Jain
Comparison fields: 5 of 135
  • Pharmaceutical Science 120
  • Food Science 177
  • Family Practice 14
  • Infectious Diseases 142
  • Endocrine and Autonomic Systems 46
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Mark A. Peppercorn United States
Malcolm Robinson United States
Aaron Lerner Israel
Torsten Matthias Israel
Pascal Gustin Belgium
John E. Wolf United States
Jyh‐Ming Liou Taiwan
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Citations per year

Countries citing papers authored by Deepika Jain

Since Specialization
Citations

This map shows the geographic impact of Deepika Jain'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 Deepika Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepika Jain more than expected).

Fields of papers citing papers by Deepika Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepika Jain. 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 Deepika Jain. The network helps show where Deepika Jain may publish in the future.

Co-authors

The 25 scholars most cited alongside Deepika Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepika Jain Line = papers co-authored together Deepika Jain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011115
2 200476
3 200867
4 201256
5 201152
6 200846
7 200945
8 201644
9 200642
10 201441
11
Cytomegalovirus infection masquerading as an ulcerative colitis flare-up: case report and review of the literature.
199741
12 201039
13 201037
14 200936
15 200534
16 201033
17 200832
18 200632
19 200832
20 201031

About Deepika Jain

Deepika Jain is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Pharmaceutical Science and Infectious Diseases, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (7 papers), Advanced Drug Delivery Systems (5 papers), Respiratory Support and Mechanisms (4 papers), Drug Solubulity and Delivery Systems (4 papers), Mobile Health and mHealth Applications (3 papers), Neuroscience of respiration and sleep (3 papers), Health Literacy and Information Accessibility (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Pharmaceutical Science (120 citations), Food Science (177 citations), Family Practice (14 citations), Infectious Diseases (142 citations) and Endocrine and Autonomic Systems (46 citations). Deepika Jain has collaborated with scholars based in India, United States and Poland. Frequent co-authors include Kashi Nath Prasad, Sushmita Sinha, Ranjit Singh, Vikas Jain, G. Raghuram, Pradyumna Kumar Mishra, Neelam Pathak, Sudhir Kumar, Chandra Mani Pandey and Sunil Pradhan. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, BMC Neurology, American Journal of Respiratory and Critical Care Medicine, Transactions of the Royal Society of Tropical Medicine and Hygiene and The FASEB Journal.

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.

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