Sameer N. Goyal

124 papers receiving 4.1k citations

Sameer N. Goyal's Hit Papers

Animal Models of Inflammation for Screening of Anti-inflammatory Drugs: Implications for the Discovery and Development of Phytopharmaceuticals 2019 · 284 citations
2840+2+4Years since publication50100150200250

Peers

Sameer N. Goyal
Comparison fields: 5 of 139
  • Complementary and alternative medicine 795
  • Pharmacology 464
  • Toxicology 135
  • Biochemistry 230
  • Pharmacology 534
Replace Aidong Wen with:
Aidong Wen China
Halis Süleyman Türkiye
Bibi Marjan Razavi Iran
Abul Kalam Najmi India
Antonella Riva Italy
Chandragouda R. Patil India
Jae‐Young Um South Korea
Hyun‐Ja Jeong South Korea
Siwang Wang China
Seung‐Heon Hong South Korea
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Citations per year

Countries citing papers authored by Sameer N. Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Sameer N. Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameer N. Goyal. 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 Sameer N. Goyal. The network helps show where Sameer N. Goyal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015318
2
Animal Models of Inflammation for Screening of Anti-inflammatory Drugs: Implications for the Discovery and Development of Phytopharmaceuticals
Hit paper breakdown →
2019284
3 2017177
4 2016167
5 2018149
6 2009144
7 2014100
8 201893
9 201692
10 201590
11 201788
12 201676
13 201773
14 201673
15 202268
16 202162
17 201759
18 201556
19 201154
20 201654

About Sameer N. Goyal

Sameer N. Goyal is a scholar working on Molecular Biology, Complementary and alternative medicine, Pathology and Forensic Medicine, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 132 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (13 papers), Cardiac Ischemia and Reperfusion (13 papers), Pharmacological Effects of Natural Compounds (10 papers), Natural Antidiabetic Agents Studies (9 papers), Chemotherapy-induced organ toxicity mitigation (7 papers), Chemotherapy-induced cardiotoxicity and mitigation (7 papers), Regulation of Appetite and Obesity (6 papers) and Traditional Chinese Medicine Analysis (6 papers). The work is most often cited by research in Complementary and alternative medicine (795 citations), Pharmacology (464 citations), Toxicology (135 citations), Biochemistry (230 citations) and Pharmacology (534 citations). Sameer N. Goyal has collaborated with scholars based in India, United Arab Emirates and United States. Frequent co-authors include Shreesh Ojha, Chandragouda R. Patil, Charu Sharma, Umesh B. Mahajan, Yogeeta O. Agrawal, Dharamvir Singh Arya, Kalpesh R. Patil, Kapil Suchal, Mohamed Fizur Nagoor Meeran and Jagriti Bhatia. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Pharmacology, European Journal of Pharmacology, Chemico-Biological Interactions and Biomedicine & Pharmacotherapy.

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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