Misha Itkin

1.0k total citations
6 papers, 238 citations indexed

About

Misha Itkin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Misha Itkin has authored 6 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Infectious Diseases. Recurrent topics in Misha Itkin's work include Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and SARS-CoV-2 detection and testing (2 papers). Misha Itkin is often cited by papers focused on Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and SARS-CoV-2 detection and testing (2 papers). Misha Itkin collaborates with scholars based in United States. Misha Itkin's co-authors include Paul Shinn, Sam Michael, Ruili Huang, Anton Simeonov, Robert J. Kavlock, Raymond R. Tice, Christopher P. Austin, Nicole Miller, Menghang Xia and Matias S. Attene‐Ramos and has published in prestigious journals such as Drug Discovery Today, Bioorganic & Medicinal Chemistry and Methods in molecular biology.

In The Last Decade

Misha Itkin

6 papers receiving 236 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Misha Itkin United States	5	109	96	49	46	22	6	238
Jeremy Fitzpatrick United States	9	117 1.1×	89 0.9×	48 1.0×	88 1.9×	6 0.3×	14	297
Atanas Chapkanov Bulgaria	8	172 1.6×	56 0.6×	99 2.0×	70 1.5×	17 0.8×	13	328
Shagun Krishna India	15	96 0.9×	256 2.7×	25 0.5×	15 0.3×	17 0.8×	28	478
Micha Rautenberg Germany	5	100 0.9×	83 0.9×	21 0.4×	11 0.2×	17 0.8×	7	213
Natalie Mesens Belgium	9	31 0.3×	142 1.5×	60 1.2×	34 0.7×	81 3.7×	13	345
Zimo Yin China	4	185 1.7×	113 1.2×	14 0.3×	13 0.3×	48 2.2×	6	288
Qingda Zang United States	9	154 1.4×	95 1.0×	50 1.0×	86 1.9×	9 0.4×	12	451
Robert Diderich France	4	150 1.4×	53 0.6×	102 2.1×	59 1.3×	15 0.7×	5	309
Michael C. Laufersweiler United States	10	82 0.8×	129 1.3×	111 2.3×	76 1.7×	9 0.4×	14	373
Yusuke Kamiya Japan	12	111 1.0×	116 1.2×	52 1.1×	30 0.7×	128 5.8×	33	405

Countries citing papers authored by Misha Itkin

Since Specialization

Citations

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

Fields of papers citing papers by Misha Itkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misha Itkin

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

All Works

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6 of 6 papers shown

1.

Yasgar, Adam, Richard T. Eastman, Ruili Huang, et al.. (2023). Quantitative Bioactivity Signatures of Dietary Supplements and Natural Products. ACS Pharmacology & Translational Science. 6(5). 683–701. 2 indexed citations

2.

Williams, J. W., Vishal B. Siramshetty, Ðắc-Trung Nguyễn, et al.. (2022). Using in vitro ADME data for lead compound selection: An emphasis on PAMPA pH 5 permeability and oral bioavailability. Bioorganic & Medicinal Chemistry. 56. 116588–116588. 32 indexed citations

3.

Xu, Miao, Manisha Pradhan, Kirill Gorshkov, et al.. (2022). A high throughput screening assay for inhibitors of SARS-CoV-2 pseudotyped particle entry. SLAS DISCOVERY. 27(2). 86–94. 14 indexed citations

4.

Ryu, Seungmi, Pei‐Hsuan Chu, Claire Malley, et al.. (2021). Human Pluripotent Stem Cells for High-Throughput Drug Screening and Characterization of Small Molecules. Methods in molecular biology. 2454. 811–827. 5 indexed citations

5.

Sun, Hongmao, Yuhong Wang, Catherine Z. Chen, et al.. (2021). Identification of SARS-CoV-2 viral entry inhibitors using machine learning and cell-based pseudotyped particle assay. Bioorganic & Medicinal Chemistry. 38. 116119–116119. 7 indexed citations

6.

Attene‐Ramos, Matias S., Nicole Miller, Ruili Huang, et al.. (2013). The Tox21 robotic platform for the assessment of environmental chemicals – from vision to reality. Drug Discovery Today. 18(15-16). 716–723. 178 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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