Philip Komarnitsky

2.5k citations
48 papers · 1.7k indexed · 1 hit paper · h-index 19
Topics
Lung Cancer Research Studies (11 papers)PARP inhibition in cancer therapy (9 papers)Cancer therapeutics and mechanisms (8 papers)
Partner nations
United StatesJapanSpain

In The Last Decade

Philip Komarnitsky

47 papers receiving 1.7k citations

Hit Papers

Different phosphorylated forms of RNA polymerase II and a...20002026200820172000250500750

Peers

Philip Komarnitsky
Comparison fields: 5 of 77
  • Molecular Biology 1.3k
  • Oncology 462
  • Pulmonary and Respiratory Medicine 138
  • Immunology 129
  • Genetics 95
Replace Samantha M. Nicol with:
Samantha M. Nicol United Kingdom
Sumit Agarwal United States
Avi Shvarts Netherlands
Yong-Sam Kim South Korea
Sabrina A. Stratton United States
Dominic Chih‐Cheng Voon Japan
Tiffany A. Melhuish United States
Shirley M.-H. Sy Hong Kong
G Vande Woude United States
Philip Komarnitsky relative to Samantha M. Nicol United Kingdom Samantha M. Nicol's profile →
Citations per field
00.5×1.5×2.5×
Samantha M. Nicol · 1×
Citations per year

Countries citing papers authored by Philip Komarnitsky

Since Specialization
Citations

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

Fields of papers citing papers by Philip Komarnitsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Komarnitsky

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Komarnitsky. A scholar is included among the top collaborators of Philip Komarnitsky 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 Philip Komarnitsky. Philip Komarnitsky 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 60
2 4
3 3
4 38
5 27
6 21
7 4
8 53
9 41
10 18
11 30
12 35
13 5
14 2
15 38
16
Different phosphorylated forms of RNA polymerase II and associated mRNA processing factors during transcriptionbreakdown →
864
17 27
18 22
19 90
20 77

About Philip Komarnitsky

Philip Komarnitsky is a scholar working on Oncology, Molecular Biology and Hematology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (11 papers), PARP inhibition in cancer therapy (9 papers) and Cancer therapeutics and mechanisms (8 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Oncology (462 citations) and Aging (24 citations). Philip Komarnitsky has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Stephen Buratowski, Eun‐Jung Cho, Clyde L. Denis, Dan Chase, Y. C. Chiang, Bénédicte Michel, D. Ross Camidge, Matthew W. Dudley, Hao Xiong and Yasutaka Takase. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Genes & Development.

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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