Boris Oskotsky

1.4k total citations · 1 hit paper
12 papers, 747 citations indexed

About

Boris Oskotsky is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Boris Oskotsky has authored 12 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Molecular Biology and 4 papers in Health Information Management. Recurrent topics in Boris Oskotsky's work include Machine Learning in Healthcare (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Electronic Health Records Systems (3 papers). Boris Oskotsky is often cited by papers focused on Machine Learning in Healthcare (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Electronic Health Records Systems (3 papers). Boris Oskotsky collaborates with scholars based in United States, Russia and South Korea. Boris Oskotsky's co-authors include Atul J. Butte, Marina Sirota, Harikrishna Paik, Dvir Aran, Andrei Goga, Justin I. Odegaard, Gregor Krings, Roman Camarda, Benjamin S. Glicksberg and Jinoos Yazdany and has published in prestigious journals such as Nature Communications, Physical review. B, Condensed matter and JAMA Network Open.

In The Last Decade

Boris Oskotsky

12 papers receiving 737 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comprehensive analysis of normal adjacent to tumor transcriptomes

2017 375 citations Dvir Aran, Roman Camarda et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Boris Oskotsky United States	8	313	151	122	120	78	12	747
Kyubum Lee United States	16	612 2.0×	116 0.8×	80 0.7×	257 2.1×	36 0.5×	32	1.1k
Saumya Shekhar Jamuar Singapore	15	325 1.0×	93 0.6×	51 0.4×	76 0.6×	23 0.3×	59	922
R Thomas Lumbers United Kingdom	17	481 1.5×	60 0.4×	87 0.7×	63 0.5×	37 0.5×	30	1.3k
Hagit Shatkay United States	12	554 1.8×	168 1.1×	76 0.6×	61 0.5×	22 0.3×	33	885
Anne E. Eyler United States	7	782 2.5×	97 0.6×	32 0.3×	180 1.5×	95 1.2×	9	1.4k
Jingxuan Shan Qatar	14	431 1.4×	243 1.6×	148 1.2×	37 0.3×	17 0.2×	33	961
Lee Wheless United States	17	186 0.6×	52 0.3×	272 2.2×	87 0.7×	176 2.3×	61	847
Christian M. Shaffer United States	22	457 1.5×	75 0.5×	79 0.6×	39 0.3×	56 0.7×	52	1.4k
Shintaro Akiyama Japan	19	358 1.1×	102 0.7×	204 1.7×	41 0.3×	115 1.5×	73	1.3k
Jenny Yang United Kingdom	10	487 1.6×	371 2.5×	104 0.9×	121 1.0×	10 0.1×	17	968

Countries citing papers authored by Boris Oskotsky

Since Specialization

Citations

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

Fields of papers citing papers by Boris Oskotsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Oskotsky

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

All Works

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12 of 12 papers shown

Radhakrishnan, Lakshmi, et al.. (2023). A certified de-identification system for all clinical text documents for information extraction at scale. JAMIA Open. 6(3). ooad045–ooad045. 12 indexed citations

Baranzini, Sergio E., Katy Börner, John P. Morris, et al.. (2022). A biomedical open knowledge network harnesses the power of AI to understand deep human biology. AI Magazine. 43(1). 46–58. 6 indexed citations

Tang, Alice, Tomiko Oskotsky, William G. Mantyh, et al.. (2022). Deep phenotyping of Alzheimer’s disease leveraging electronic medical records identifies sex-specific clinical associations. Nature Communications. 13(1). 675–675. 16 indexed citations

Baranzini, Sergio E., Katy Börner, John P. Morris, et al.. (2022). A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology. AI Magazine. 43(1). 46–58. 6 indexed citations

Oskotsky, Tomiko, Ivana Marić, Alice Tang, et al.. (2021). Mortality Risk Among Patients With COVID-19 Prescribed Selective Serotonin Reuptake Inhibitor Antidepressants. JAMA Network Open. 4(11). e2133090–e2133090. 80 indexed citations

Norgeot, Beau, Benjamin S. Glicksberg, Boris Oskotsky, et al.. (2020). Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes. npj Digital Medicine. 3(1). 57–57. 61 indexed citations

Arneson, Douglas, Matthew Elliott, Boris Oskotsky, et al.. (2020). CovidCounties is an interactive real time tracker of the COVID19 pandemic at the level of US counties. Scientific Data. 7(1). 405–405. 12 indexed citations

Glicksberg, Benjamin S., Boris Oskotsky, Nicholas Giangreco, et al.. (2019). ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data. JAMIA Open. 2(1). 10–14. 6 indexed citations

Norgeot, Beau, Benjamin S. Glicksberg, Laura Trupin, et al.. (2019). Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis. JAMA Network Open. 2(3). e190606–e190606. 145 indexed citations

10.

Rappoport, Nadav, Harikrishna Paik, Boris Oskotsky, et al.. (2018). Comparing Ethnicity-Specific Reference Intervals for Clinical Laboratory Tests from EHR Data. The Journal of Applied Laboratory Medicine. 3(3). 366–377. 24 indexed citations

11.

Aran, Dvir, Roman Camarda, Justin I. Odegaard, et al.. (2017). Comprehensive analysis of normal adjacent to tumor transcriptomes. Nature Communications. 8(1). 1077–1077. 375 indexed citations breakdown →

12.

Gerchikov, L. G., Boris Oskotsky, & A. V. Subashiev. (1994). Effect of band mixing on hole transport along the axis of a semiconductor superlattice. Physical review. B, Condensed matter. 50(20). 15416–15419. 4 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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