E. S. Venkatraman

6.0k citations
41 papers · 4.1k indexed · 2 hit papers · h-index 21
Topics
Ovarian cancer diagnosis and treatment (9 papers)Intraperitoneal and Appendiceal Malignancies (8 papers)Lung Cancer Diagnosis and Treatment (7 papers)

In The Last Decade

E. S. Venkatraman

40 papers receiving 4.0k citations

Hit Papers

Circular binary segmentation for the analysis of array-ba...2004202620112018200420074008001.2k

Peers

E. S. Venkatraman
Comparison fields: 5 of 154
  • Molecular Biology 1.7k
  • Genetics 1.4k
  • Cancer Research 922
  • Oncology 850
  • Pulmonary and Respiratory Medicine 828
Replace Gary Longton with:
Gary Longton United States
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E. S. Venkatraman relative to Gary Longton United States Gary Longton's profile →
Citations per field
00.5×4.1×
Gary Longton · 1×
Citations per year

Countries citing papers authored by E. S. Venkatraman

Since Specialization
Citations

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

Fields of papers citing papers by E. S. Venkatraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. S. Venkatraman. 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 E. S. Venkatraman. The network helps show where E. S. Venkatraman may publish in the future.

Co-authorship network of co-authors of E. S. Venkatraman

This figure shows the co-authorship network connecting the top 25 collaborators of E. S. Venkatraman. A scholar is included among the top collaborators of E. S. Venkatraman 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 E. S. Venkatraman. E. S. Venkatraman 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
A faster circular binary segmentation algorithm for the analysis of array CGH databreakdown →
621
3 13
4 6
5 35
6 10
7 97
8
Circular binary segmentation for the analysis of array-based DNA copy number databreakdown →
1495
9 90
10 37
11 124
12 7
13 9
14 17
15 66
16
BRCA1 up-regulation is associated with repair-mediated resistance to cis-diamminedichloroplatinum(II).
233
17 39
18 92
19 50
20 98

About E. S. Venkatraman

E. S. Venkatraman is a scholar working on Reproductive Medicine, Statistics and Probability and Obstetrics and Gynecology, having authored 41 papers that have together received 4.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Intraperitoneal and Appendiceal Malignancies (8 papers) and Lung Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Cancer Research (922 citations), Genetics (1.4k citations) and Reproductive Medicine (362 citations). E. S. Venkatraman has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Adam B. Olshen, Michael Wigler, David Siegmund, Valerie W. Rusch, David S. Klimstra, Colin B. Begg, Amreen Husain, Gang He, D R Spriggs and Peter W. T. Pisters. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics and Biometrics.

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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