Victor G. Corces

25.6k citations
194 papers · 18.4k indexed · 8 hit papers · h-index 72
Topics
Genomics and Chromatin Dynamics (104 papers)RNA Research and Splicing (66 papers)Chromosomal and Genetic Variations (53 papers)
Partner nations
United StatesSpainRussia

In The Last Decade

Victor G. Corces

193 papers receiving 18.1k citations

Hit Papers

CTCF: Master Weaver of the Genome1997202620062016200920132018201420114008001.2k

Peers

Victor G. Corces
Comparison fields: 5 of 150
  • Molecular Biology 16.4k
  • Plant Science 6.1k
  • Genetics 2.9k
  • Immunology 942
  • Cancer Research 854
Replace Vincenzo Pirrotta with:
Vincenzo Pirrotta United States
Renato Paro Germany
David S. Johnson United States
Jerzy Jurka United States
Giacomo Cavalli France
Brian D. Strahl United States
Gary H. Karpen United States
Bas van Steensel Netherlands
Ryan Lister Australia
Oliver J. Rando United States
Victor G. Corces relative to Vincenzo Pirrotta United States Vincenzo Pirrotta's profile →
Citations per field
00.5×5.5×
Vincenzo Pirrotta · 1×
Citations per year

Countries citing papers authored by Victor G. Corces

Since Specialization
Citations

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

Fields of papers citing papers by Victor G. Corces

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor G. Corces

This figure shows the co-authorship network connecting the top 25 collaborators of Victor G. Corces. A scholar is included among the top collaborators of Victor G. Corces 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 Victor G. Corces. Victor G. Corces 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 1
2 2
3 8
4 13
5 101
6 27
7 101
8 78
9 10
10 8
11 202
12 18
13 28
14 24
15 85
16 126
17 58
18 44
19 38
20 94

About Victor G. Corces

Victor G. Corces is a scholar working on Molecular Biology, Plant Science and Aging, having authored 194 papers that have together received 18.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (104 papers), RNA Research and Splicing (66 papers) and Chromosomal and Genetic Variations (53 papers). The work is most often cited by research in Molecular Biology (16.4k citations), Plant Science (6.1k citations) and Aging (243 citations). Victor G. Corces has collaborated with scholars based in United States, Spain and Russia. Frequent co-authors include Chin‐Tong Ong, Jennifer E. Phillips‐Cremins, M. Jordan Rowley, Pamela Geyer, T. I. Gerasimova, Susan M. Parkhurst, Scott J. Nowak, Kevin Van Bortle, Jef D. Boeke and Diane C. Slusarski. Their work appears in journals such as Nature, Science and Cell.

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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