Deeksha Tripathi

584 citations
28 papers · 444 · h-index 11

Impact in

    • Tuberculosis Research and Epidemiology
    • Mycobacterium research and diagnosis
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

    • Signaling Pathways in Disease 5
    • Bacterial biofilms and quorum sensing 3
    • Tuberculosis Research and Epidemiology 7
    • Clostridium difficile and Clostridium perfringens research 3

Deeksha Tripathi

26 papers receiving 437 citations

Peers

Deeksha Tripathi
Comparison fields: 5 of 98
  • Infectious Diseases 109
  • Epidemiology 169
  • Molecular Medicine 20
  • Endocrine and Autonomic Systems 23
  • Immunology 61
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Citations per year

Countries citing papers authored by Deeksha Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Deeksha Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deeksha Tripathi, 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 Deeksha Tripathi Line = papers co-authored together Deeksha Tripathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020161
2 201950
3 201737
4 201836
5 201629
6 201426
7 202118
8 201315
9 202013
10 201112
11 202210
12 20207
13 20246
14 20155
15 20243
16 20223
17 20222
18 20212
19 20192
20 20241

About Deeksha Tripathi

Deeksha Tripathi is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Biomedical Engineering, having authored 28 papers that have together received 444 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (6 papers), Signaling Pathways in Disease (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Biosensors and Analytical Detection (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Infectious Diseases (109 citations), Epidemiology (169 citations), Molecular Medicine (20 citations), Endocrine and Autonomic Systems (23 citations) and Immunology (61 citations). Deeksha Tripathi has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Saurabh Pandey, Nasreen Z. Ehtesham, Sashi Kant, Ashutosh Kumar, Seyed E. Hasnain, Rakesh Bhatnagar, Mamta Rani, Anwar Alam, Harish Chandra and Rajni Garg. Their work appears in journals such as Infection and Immunity, Biochemical and Biophysical Research Communications, Biology, Biochimica et Biophysica Acta (BBA) - General Subjects and npj Biofilms and Microbiomes.

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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