Inho Choi

1.1k total citations
10 papers, 860 citations indexed

About

Inho Choi is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Inho Choi has authored 10 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pharmacology. Recurrent topics in Inho Choi's work include Protein Interaction Studies and Fluorescence Analysis (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Inho Choi is often cited by papers focused on Protein Interaction Studies and Fluorescence Analysis (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Inho Choi collaborates with scholars based in South Korea, India and Saudi Arabia. Inho Choi's co-authors include Gulam Rabbani, Mohammad Hassan Baig, Khurshid Ahmad, Eun Ju Lee, Jin Yeul, Won‐Kyung Cho, Mohd Danishuddin, Rosina Khan, Fohad Mabood Husain and Tufail Bashir and has published in prestigious journals such as Scientific Reports, Environmental Pollution and International Journal of Molecular Sciences.

In The Last Decade

Inho Choi

9 papers receiving 852 citations

Peers

Inho Choi

MB

ONCOL

OC

MC

CTM

Milena Salerno France

Sinjan Choudhary India

Mohd Ishtikhar India

Roberto Artali Italy

Jacopo Sgrignani Italy

Agostino Cilibrizzi United Kingdom

Songqiang Xie China

Gaetano Marverti Italy

Saima Nusrat India

Po Hu China

Milena Salerno France

Inho Choi

400 ×0.7

MB

432 ×1.6

ONCOL

95 ×0.7

OC

104 ×0.9

MC

49 ×0.5

CTM

Citations per year, relative to Inho Choi Inho Choi (= 1×) peers Milena Salerno

Countries citing papers authored by Inho Choi

Since Specialization

Citations

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

Fields of papers citing papers by Inho Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inho Choi

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

All Works

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10 of 10 papers shown

1.

Lee, Eun Ju, Sibhghatulla Shaikh, Jin Hee Lee, Sun Jin Hur, & Inho Choi. (2025). Glycyrrhiza uralensis crude water extract and licochalcone A and B to enhance chicken muscle satellite cell differentiation for cultured meat production. Scientific Reports. 15(1). 14350–14350.

2.

Kumar, Subhash, et al.. (2024). Combating micro/nano plastic pollution with bioplastic: Sustainable food packaging, challenges, and future perspectives. Environmental Pollution. 363(Pt 1). 125077–125077. 10 indexed citations

3.

Baig, Mohammad Hassan, Prachi Srivastava, Khurshid Ahmad, et al.. (2019). NeuroMuscleDB: a Database of Genes Associated with Muscle Development, Neuromuscular Diseases, Ageing, and Neurodegeneration. Molecular Neurobiology. 56(8). 5835–5843. 13 indexed citations

4.

Baig, Mohammad Hassan, et al.. (2019). Multi-Spectroscopic Characterization of Human Serum Albumin Binding with Cyclobenzaprine Hydrochloride: Insights from Biophysical and In Silico Approaches. International Journal of Molecular Sciences. 20(3). 662–662. 45 indexed citations

5.

Baig, Mohammad Hassan, Khurshid Ahmad, Gulam Rabbani, & Inho Choi. (2018). Use of Peptides for the Management of Alzheimer’s Disease: Diagnosis and Inhibition. Frontiers in Aging Neuroscience. 10. 21–21. 60 indexed citations

6.

Rabbani, Gulam, Eun Ju Lee, Khurshid Ahmad, Mohammad Hassan Baig, & Inho Choi. (2018). Binding of Tolperisone Hydrochloride with Human Serum Albumin: Effects on the Conformation, Thermodynamics, and Activity of HSA. Molecular Pharmaceutics. 15(4). 1445–1456. 243 indexed citations

7.

Rabbani, Gulam, Mohammad Hassan Baig, Eun Ju Lee, et al.. (2017). Biophysical Study on the Interaction between Eperisone Hydrochloride and Human Serum Albumin Using Spectroscopic, Calorimetric, and Molecular Docking Analyses. Molecular Pharmaceutics. 14(5). 1656–1665. 251 indexed citations

8.

Baig, Mohammad Hassan, Mohd Adil, Rosina Khan, et al.. (2017). Enzyme targeting strategies for prevention and treatment of cancer: Implications for cancer therapy. Seminars in Cancer Biology. 56. 1–11. 97 indexed citations

9.

Ahmad, Khurshid, Gulam Rabbani, Mohammad Hassan Baig, et al.. (2017). Nanoparticle-Based Drugs: A Potential Armamentarium of Effective Anti-Cancer Therapies. Current Drug Metabolism. 19(10). 839–846. 26 indexed citations

10.

Baig, Mohammad Hassan, Khurshid Ahmad, Gulam Rabbani, Mohd Danishuddin, & Inho Choi. (2017). Computer Aided Drug Design and its Application to the Development of Potential Drugs for Neurodegenerative Disorders. Current Neuropharmacology. 16(6). 740–748. 115 indexed citations

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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