Ankit Tanwar

567 citations
22 papers · 405 · h-index 11

Impact in

    • Pharmacological Effects of Natural Compounds
    • Ginger and Zingiberaceae research
    • Phytochemistry and Bioactivity Studies
    • Antibiotic Resistance in Bacteria

Papers in

Ankit Tanwar

21 papers receiving 395 citations

Peers

Ankit Tanwar
Comparison fields: 5 of 82
  • Pharmacology 111
  • Molecular Medicine 29
  • Drug Discovery 1
  • Complementary and alternative medicine 38
  • Food Science 74
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Citations per field
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Citations per year

Countries citing papers authored by Ankit Tanwar

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Tanwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201757
2 201651
3 202350
4 201645
5 202439
6 201727
7 201726
8 201622
9 201520
10 201916
11 202212
12 201610
13 20247
14 20236
15 20235
16
Curative remedies for rheumatoid arthritis: Herbal informatics approach for rational based selection of natural plant products
20175
17 20222
18
Herbal informatics approach for the selection of natural compounds targeting diabetes mellitus
20182
19
In silico bioprospection analysis for identification of herbal compound targeting Clostridium difficile
20191
20 20231

About Ankit Tanwar

Ankit Tanwar is a scholar working on Molecular Biology, Pharmacology, Immunology, Oncology and Food Science, having authored 22 papers that have together received 405 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Pharmacological Effects of Natural Compounds (4 papers), Essential Oils and Antimicrobial Activity (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Computational Drug Discovery Methods (2 papers), Immune cells in cancer (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Pharmacology (111 citations), Molecular Medicine (29 citations), Drug Discovery (1 citation), Complementary and alternative medicine (38 citations) and Food Science (74 citations). Ankit Tanwar has collaborated with scholars based in United States, India and China. Frequent co-authors include Ankita Singh Chakotiya, Rakesh Kumar Sharma, Alka Narula, Rajeev K. Goel, Rajesh Arora, Pallavi Thakur, Raman Chawla, Xingxing Zang, Pamela Stanley and Anne Tranberg Madsen. Their work appears in journals such as Microbial Pathogenesis, Biomedicine & Pharmacotherapy, Current Pharmaceutical Biotechnology, Nature Communications and Frontiers in Molecular Biosciences.

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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