Banappa S. Unger

688 citations
21 papers · 507 indexed · 1 hit paper · h-index 10

Banappa S. Unger

18 papers receiving 483 citations

Hit Papers

Animal Models of Inflammation for Screening of Anti-infla...272201920262021202350100150200250

Peers

Banappa S. Unger
Comparison fields: 5 of 96
  • Pharmacology 76
  • Complementary and alternative medicine 62
  • Toxicology 17
  • Pharmacology 54
  • Biological Psychiatry 7
Replace Da Hye Kwon with:
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Sung Ok Kim South Korea
Debasis Sahu India
Aaron Opoku Antwi Ghana
David D. Obiri Ghana
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Countries citing papers authored by Banappa S. Unger

Since Specialization
Citations

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

Fields of papers citing papers by Banappa S. Unger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Banappa S. Unger. 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 Banappa S. Unger. The network helps show where Banappa S. Unger may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20241
5 20232
6 202114
7 202033
8 202010
9
Animal Models of Inflammation for Screening of Anti-inflammatory Drugs: Implications for the Discovery and Development of Phytopharmaceuticalsbreakdown →
2019272
10 20162
11 20164
12 20159
13 20151
14 201410
15 20092
16 200925
17 200631
18 199637
19 199327
20 197826

About Banappa S. Unger

Banappa S. Unger is a scholar working on Complementary and alternative medicine, Toxicology, Pharmacology, Behavioral Neuroscience and Endocrinology, having authored 21 papers that have together received 507 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (4 papers), Computational Drug Discovery Methods (3 papers), Herbal Medicine Research Studies (3 papers), Synthesis and biological activity (2 papers), Pharmacological Effects of Medicinal Plants (2 papers), Complementary and Alternative Medicine Studies (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Pharmacology (76 citations), Complementary and alternative medicine (62 citations), Toxicology (17 citations), Pharmacology (54 citations) and Biological Psychiatry (7 citations). Banappa S. Unger has collaborated with scholars based in India, United Arab Emirates and Denmark. Frequent co-authors include Sateesh Belemkar, Umesh B. Mahajan, Sameer N. Goyal, Shreesh Ojha, Chandragouda R. Patil, Kalpesh R. Patil, Sanjay J. Surana, B. M. Patil, Nina Agabian and Nagaraj M. Kulkarni. Their work appears in journals such as Scandinavian Journal of Rheumatology, Journal of Bacteriology, International Journal of Molecular Sciences, Cancer Chemotherapy and Pharmacology and European Journal of Pharmacology.

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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