Boris Oskotsky

1.4k citations
12 papers · 747 indexed · 1 hit paper · h-index 8
Topics
Machine Learning in Healthcare (5 papers)Biomedical Text Mining and Ontologies (3 papers)Electronic Health Records Systems (3 papers)

In The Last Decade

Boris Oskotsky

12 papers receiving 737 citations

Hit Papers

Comprehensive analysis of normal adjacent to tumor transc...20172026202020232017100200300

Peers

Boris Oskotsky
Comparison fields: 5 of 114
  • Molecular Biology 313
  • Cancer Research 151
  • Oncology 122
  • Artificial Intelligence 120
  • Rheumatology 78
Replace R Thomas Lumbers with:
R Thomas Lumbers United Kingdom
Kyubum Lee United States
Shintaro Akiyama Japan
Yoon Jung Choi South Korea
William Schierding New Zealand
Enrique J. deAndrés‐Galiana Spain
Michael Yu United States
Anne E. Eyler United States
Kelsey L. Pomykala Germany
Jenny Yang United Kingdom
Boris Oskotsky relative to R Thomas Lumbers United Kingdom R Thomas Lumbers's profile →
Citations per field
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Citations per year

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

12 of 12 papers shown
#WorkIndexed citations
1 12
2 6
3 16
4 6
5 80
6 61
7 12
8 6
9 145
10 24
11
Comprehensive analysis of normal adjacent to tumor transcriptomesbreakdown →
375
12 4

About Boris Oskotsky

Boris Oskotsky is a scholar working on Health Information Management, Biological Psychiatry and Artificial Intelligence, having authored 12 papers that have together received 747 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Health Informatics (41 citations), Biological Psychiatry (33 citations) and Cancer Research (151 citations). Boris Oskotsky has collaborated with scholars based in United States, Russia and South Korea. Frequent co-authors include Atul J. Butte, Marina Sirota, Harikrishna Paik, Roman Camarda, Justin I. Odegaard, Gregor Krings, Dvir Aran, Andrei Goga, Benjamin S. Glicksberg and Beau Norgeot. Their work appears in journals such as Nature Communications, Physical review. B, Condensed matter and JAMA Network Open.

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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