Chandrakumar Shanmugam

908 total citations
26 papers, 582 citations indexed

About

Chandrakumar Shanmugam is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Chandrakumar Shanmugam has authored 26 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 13 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Chandrakumar Shanmugam's work include Genetic factors in colorectal cancer (14 papers), Colorectal Cancer Screening and Detection (7 papers) and Cancer-related Molecular Pathways (5 papers). Chandrakumar Shanmugam is often cited by papers focused on Genetic factors in colorectal cancer (14 papers), Colorectal Cancer Screening and Detection (7 papers) and Cancer-related Molecular Pathways (5 papers). Chandrakumar Shanmugam collaborates with scholars based in United States, India and Qatar. Chandrakumar Shanmugam's co-authors include Upender Manne, Venkat R. Katkoori, William E. Grizzle, Harvey L. Bumpers, Sreelatha Meleth, Nirag Jhala, Sejong Bae, Jia Xu, Bin Zhang and Karan P. Singh and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Research.

In The Last Decade

Chandrakumar Shanmugam

26 papers receiving 571 citations

Peers

Chandrakumar Shanmugam
Comparison fields: 5 of 73
  • Molecular Biology 277
  • Oncology 263
  • Cancer Research 191
  • Pathology and Forensic Medicine 124
  • Surgery 75
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Chia Wen Tsai Taiwan
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Veerle de Vriendt Belgium
Eun Ji Jung South Korea
Selja Koskensalo Finland
Pooja Advani United States
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Citations per field, relative to Chandrakumar Shanmugam
Chandrakumar Shanmugam · 1×
Citations per year, relative to Chandrakumar Shanmugam
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Countries citing papers authored by Chandrakumar Shanmugam

Since Specialization
Citations

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

Fields of papers citing papers by Chandrakumar Shanmugam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandrakumar Shanmugam

This figure shows the co-authorship network connecting the top 25 collaborators of Chandrakumar Shanmugam. A scholar is included among the top collaborators of Chandrakumar Shanmugam 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 Chandrakumar Shanmugam. Chandrakumar Shanmugam 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
# Work Indexed citations
1 4
2 3
3 7
4 25
5 8
6 1
7 19
8 5
9 4
10 27
11 18
12 19
13 46
14 56
15 37
16 19
17 59
18 5
19
Aberrant phenotypic expression of MUC17 is associated with aggressive behavior of colorectal adenocarcinomas
1
20
Loss of heterozygosity at 17p13.3 and 17p13.1 loci is associated with poor survival of African Americans with colorectal adenocarcinomas
1

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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