Inhee Choi

2.8k citations
40 papers · 1.3k indexed · 1 hit paper · h-index 17
Topics
Tuberculosis Research and Epidemiology (8 papers)Computational Drug Discovery Methods (7 papers)Cancer therapeutics and mechanisms (6 papers)

In The Last Decade

Inhee Choi

39 papers receiving 1.3k citations

Hit Papers

Identification of Antiviral Drug Candidates against SARS-...20202026202220242020100200300400

Peers

Inhee Choi
Comparison fields: 5 of 110
  • Infectious Diseases 581
  • Molecular Biology 543
  • Computational Theory and Mathematics 255
  • Organic Chemistry 209
  • Epidemiology 182
Replace Shailendra Asthana with:
Shailendra Asthana India
Young-Hee Jin South Korea
Sumra Wajid Abbasi Pakistan
Ahmad Abu Turab Naqvi India
Vidya Rajendran India
Vivek Dhar Dwivedi India
Muhammad Usman Mirza Pakistan
Safar M. Alqahtani Saudi Arabia
Giosuè Costa Italy
Inhee Choi relative to Shailendra Asthana India Shailendra Asthana's profile →
Citations per field
00.5×3.8×
Shailendra Asthana · 1×
Citations per year

Countries citing papers authored by Inhee Choi

Since Specialization
Citations

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

Fields of papers citing papers by Inhee Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inhee Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Inhee Choi. A scholar is included among the top collaborators of Inhee Choi 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 Inhee Choi. Inhee Choi 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 4
2 2
3 9
4 2
5 1
6 15
7 22
8
Identification of Antiviral Drug Candidates against SARS-CoV-2 from FDA-Approved Drugsbreakdown →
450
9 8
10 3
11 16
12 27
13 15
14 21
15 14
16 80
17 68
18 18
19 3
20 11

About Inhee Choi

Inhee Choi is a scholar working on Infectious Diseases, Toxicology and Aging, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Computational Drug Discovery Methods (7 papers) and Cancer therapeutics and mechanisms (6 papers). The work is most often cited by research in Infectious Diseases (581 citations), Computational Theory and Mathematics (255 citations) and Pharmacology (84 citations). Inhee Choi has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include David Shum, Soo Young Byun, Meehyun Ko, Jihye Lee, Soonju Park, Seungtaek Kim, Sangeun Jeon, Yoonae Ko, Haeng Ran Seo and Yeonhwa Song. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Scientific Reports.

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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