Kumar Sapkota

1.7k citations
48 papers · 1.4k indexed · h-index 24

Impact in

Papers in

Kumar Sapkota

47 papers receiving 1.4k citations

Peers

Kumar Sapkota
Comparison fields: 5 of 116
  • Biotechnology 434
  • Complementary and alternative medicine 195
  • Biochemistry 109
  • Pharmacology 207
  • Neurology 97
Replace Seung Kim with:
Seung Kim South Korea
Jianhua Qi China
Tzi‐Bun Ng Hong Kong
Anna Pick Kiong Ling Malaysia
Eun Ju Jeong South Korea
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
#Work
1 20238
2 20219
3 202036
4 201932
5 201917
6 201823
7 201428
8 201432
9 20141
10 20131
11 201336
12 2011190
13 201149
14 20103
15 201045
16 201050
17 200840
18
Biological Detoxification of Lacquer Tree (Rhus verniciflua Stokes) Stem Bark by Mushroom Species
200731
19
Changes in Total Polyphenol, Total Flavonoid Contents and Antioxidant Activities of Hibiscus cannabin us L.
200615
20
Aquatic biodiversity in the Karnali and Narayani river basins, Nepal
19966

About Kumar Sapkota

Kumar Sapkota is a scholar working on Biotechnology, Geriatrics and Gerontology, Complementary and alternative medicine, Pharmacology and Insect Science, having authored 48 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), Medicinal Plants and Neuroprotection (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Biochemical and Structural Characterization (5 papers), Microbial Metabolism and Applications (4 papers), Pesticide Exposure and Toxicity (4 papers) and Environmental Toxicology and Ecotoxicology (4 papers). The work is most often cited by research in Biotechnology (434 citations), Complementary and alternative medicine (195 citations), Biochemistry (109 citations), Pharmacology (207 citations) and Neurology (97 citations). Kumar Sapkota has collaborated with scholars based in South Korea, Nepal and United States. Frequent co-authors include Seung Kim, Se‐Eun Park, Sung Jun Kim, Bong-Suk Choi, Jun‐Hui Choi, Soma Dhakal, Myung-Kon Kim, Sung-Jun Kim, Sung-Jun Kim and Jae‐Sung Kim. 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 Sensors.

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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