Subarna Pokhrel

471 citations
17 papers · 290 indexed · h-index 8
Topics
Computational Drug Discovery Methods (3 papers)Phytochemicals and Medicinal Plants (3 papers)Enzyme Production and Characterization (2 papers)
Partner nations
IndiaSouth KoreaNepal

In The Last Decade

Subarna Pokhrel

17 papers receiving 285 citations

Peers

Subarna Pokhrel
Comparison fields: 5 of 63
  • Molecular Biology 110
  • Complementary and alternative medicine 99
  • Biotechnology 50
  • Biomedical Engineering 45
  • Plant Science 44
Replace Farhana Rumzum Bhuiyan with:
Farhana Rumzum Bhuiyan Bangladesh
Yu-Pu Juang Taiwan
Hany G. Attia Saudi Arabia
Pardis Mohammadi Pour Iran
Ji-Young Park South Korea
A. Kaul Japan
Madhu Rathore India
Van Dao Nguyen South Korea
Eman Maher Zahran Egypt
Islam A. Elsehemy Egypt
Subarna Pokhrel relative to Farhana Rumzum Bhuiyan Bangladesh Farhana Rumzum Bhuiyan's profile →
Citations per field
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Farhana Rumzum Bhuiyan · 1×
Citations per year

Countries citing papers authored by Subarna Pokhrel

Since Specialization
Citations

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

Fields of papers citing papers by Subarna Pokhrel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subarna Pokhrel

This figure shows the co-authorship network connecting the top 25 collaborators of Subarna Pokhrel. A scholar is included among the top collaborators of Subarna Pokhrel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Subarna Pokhrel. Subarna Pokhrel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 77
3 1
4 2
5 2
6 1
7 25
8 32
9 46
10 5
11 31
12 23
13 2
14 28
15
LH/FSH ratio: a better marker of secondary amenorrhea in patients from eastern Nepal.
1
16
Age related changes in cholesterol level among the patients with subclinical hypothyroidism in eastern Nepal.
3
17 8

About Subarna Pokhrel

Subarna Pokhrel is a scholar working on Complementary and alternative medicine, Pharmacology and Biotechnology, having authored 17 papers that have together received 290 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Phytochemicals and Medicinal Plants (3 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Complementary and alternative medicine (99 citations), Biotechnology (50 citations) and Pharmacology (30 citations). Subarna Pokhrel has collaborated with scholars based in India, South Korea and Nepal. Frequent co-authors include Acharya Balkrishna, Young Je Yoo, Anurag Varshney, Jeong Chan Joo, Hoshiyar Singh, Swati Haldar, Seok Hwan Kim, Sudeep Verma, Ajay Kumar and Abhishek Gupta. Their work appears in journals such as Molecules, Process Biochemistry and Current Molecular Medicine.

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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