Christopher G. Przybycin

3.8k citations
56 papers · 1.5k indexed · h-index 20

Christopher G. Przybycin

52 papers receiving 1.5k citations

Peers

Christopher G. Przybycin
Comparison fields: 5 of 68
  • Pulmonary and Respiratory Medicine 855
  • Molecular Biology 676
  • Reproductive Medicine 339
  • Surgery 303
  • Cancer Research 300
Replace Donavan T. Cheng with:
Donavan T. Cheng United States
Johanna Strehl Germany
S Bose United States
Melissa C. Larson United States
Nafisa Wilkinson United Kingdom
Kenji Kashiwabara Japan
Eble Jn United States
Mindert Krans Netherlands
Włodzimierz Olszewski Poland
F. Kommoss Germany
Christopher G. Przybycin relative to Donavan T. Cheng United States Donavan T. Cheng's profile →
Citations per field
00.5×3.7×
Donavan T. Cheng · 1×
Citations per year

Countries citing papers authored by Christopher G. Przybycin

Since Specialization
Citations

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

Fields of papers citing papers by Christopher G. Przybycin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G. Przybycin. 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 Christopher G. Przybycin. The network helps show where Christopher G. Przybycin may publish in the future.

Co-authorship network of co-authors of Christopher G. Przybycin

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher G. Przybycin. A scholar is included among the top collaborators of Christopher G. Przybycin 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 Christopher G. Przybycin. Christopher G. Przybycin 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 0
2 4
3 1
4 2
5 3
6 2
7 9
8 3
9 21
10 17
11 17
12 39
13 3
14 5
15 132
16 185
17 48
18 28
19 83
20 4

About Christopher G. Przybycin

Christopher G. Przybycin is a scholar working on Pulmonary and Respiratory Medicine, Reproductive Medicine and Rheumatology, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (25 papers), Renal and related cancers (20 papers) and Urologic and reproductive health conditions (11 papers). The work is most often cited by research in Reproductive Medicine (339 citations), Pulmonary and Respiratory Medicine (855 citations) and Obstetrics and Gynecology (173 citations). Christopher G. Przybycin has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Jesse K. McKenney, Ie‐Ming Shih, Brigitte M. Ronnett, Russell Vang, Robert J. Kurman, Cristina Magi‐Galluzzi, Jordan Reynolds, Kiril Trpkov, Jane Nguyen and Ankur R. Sangoi. Their work appears in journals such as Journal of Clinical Oncology, Molecular and Cellular Biology and Journal of Virology.

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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