Soma Dhakal

2.1k citations
41 papers · 1.7k indexed · 1 hit paper · h-index 22
Topics
Advanced biosensing and bioanalysis techniques (34 papers)DNA and Nucleic Acid Chemistry (17 papers)RNA Interference and Gene Delivery (16 papers)

In The Last Decade

Soma Dhakal

39 papers receiving 1.7k citations

Hit Papers

Nanocaged enzymes with enhanced catalytic activity and in...20162026201920222016100200300

Peers

Soma Dhakal
Comparison fields: 5 of 82
  • Molecular Biology 1.6k
  • Biomedical Engineering 383
  • Ecology 212
  • Materials Chemistry 144
  • Electrical and Electronic Engineering 144
Replace Yunxi Cui with:
Yunxi Cui China
Alexander Johnson‐Buck United States
Shirley S. Daube Israel
Thomas Tørring Denmark
Kyubong Jo South Korea
Chandran R. Sabanayagam United States
Ignacio Faustino Spain
Wooli Bae South Korea
Nikolay Korolev Singapore
Yu-Pin Lin Taiwan
Soma Dhakal relative to Yunxi Cui China Yunxi Cui's profile →
Citations per field
00.5×1.5×2.1×
Yunxi Cui · 1×
Citations per year

Countries citing papers authored by Soma Dhakal

Since Specialization
Citations

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

Fields of papers citing papers by Soma Dhakal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soma Dhakal

This figure shows the co-authorship network connecting the top 25 collaborators of Soma Dhakal. A scholar is included among the top collaborators of Soma Dhakal 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 Soma Dhakal. Soma Dhakal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 4
4 5
5 8
6 4
7 0
8 16
9 9
10 25
11 12
12 21
13 8
14 5
15 36
16 32
17 17
18 8
19 23
20 21

About Soma Dhakal

Soma Dhakal is a scholar working on Structural Biology, Biophysics and Molecular Biology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (34 papers), DNA and Nucleic Acid Chemistry (17 papers) and RNA Interference and Gene Delivery (16 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Structural Biology (21 citations) and Biomedical Engineering (383 citations). Soma Dhakal has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Hanbin Mao, Deepak Koirala, Zhongbo Yu, Nils G. Walter, Minghui Liu, Hao Yan, Jinglin Fu, Kumar Sapkota, Joseph D. Schonhoft and Soumitra Basu. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

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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