Kumar Sapkota

47 papers receiving 1.4k citations

Peers

Kumar Sapkota
Comparison fields: 5 of 115
  • Biotechnology 436
  • Complementary and alternative medicine 172
  • Biochemistry 102
  • Pharmacology 196
  • Neurology 85
Replace Seung Kim with:
Seung Kim South Korea
Tzi‐Bun Ng Hong Kong
Jianhua Qi China
Hee‐Kyoung Kang South Korea
Anna Pick Kiong Ling Malaysia
Feng Jin China
Hyun Ok Yang South Korea
Young‐Kyoon Kim South Korea
Xiao‐Yuan Lian China
Kumar Sapkota relative to Seung Kim South Korea Seung Kim's profile →
Citations per field
00.5×1.5×
Seung Kim · 1×
Citations per year

Countries citing papers authored by Kumar Sapkota

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Sapkota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011195
2 200584
3 201482
4 201373
5
A fibrinolytic enzyme from the medicinal mushroom Cordyceps militaris.
200665
6 200756
7 201355
8 201050
9 201150
10 201045
11 201044
12 200840
13 201037
14 201336
15 202036
16 201435
17 201933
18 201432
19
Biological Detoxification of Lacquer Tree (Rhus verniciflua Stokes) Stem Bark by Mushroom Species
200731
20 201931

About Kumar Sapkota

Kumar Sapkota is a scholar working on Molecular Biology, Biotechnology, Plant Science, Pharmacology and Complementary and alternative medicine, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (13 papers), Fungal Biology and Applications (7 papers), Biochemical and Structural Characterization (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Microbial Metabolism and Applications (4 papers), Environmental Toxicology and Ecotoxicology (4 papers), Medicinal Plants and Neuroprotection (4 papers) and Pesticide Exposure and Toxicity (4 papers). The work is most often cited by research in Biotechnology (436 citations), Complementary and alternative medicine (172 citations), Biochemistry (102 citations), Pharmacology (196 citations) and Neurology (85 citations). Kumar Sapkota has collaborated with scholars based in South Korea, Nepal and United States. Frequent co-authors include Seung Kim, Se‐Eun Park, Bong-Suk Choi, Jun‐Hui Choi, Soma Dhakal, Myung-Kon Kim, Sung-Jun Kim, Sung-Jun Kim, Jae‐Sung Kim and Hong Sung Chun. Their work appears in journals such as Neurochemical Research, Applied Biochemistry and Biotechnology, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, Bioscience Biotechnology and Biochemistry and Process Biochemistry.

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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