Manu C. Shekher

1.6k citations
9 papers · 896 indexed · h-index 7
Topics
Pancreatic and Hepatic Oncology Research (5 papers)Cancer Genomics and Diagnostics (4 papers)Gastrointestinal disorders and treatments (2 papers)

In The Last Decade

Manu C. Shekher

9 papers receiving 885 citations

Peers

Manu C. Shekher
Comparison fields: 5 of 41
  • Oncology 669
  • Molecular Biology 428
  • Cancer Research 339
  • Pathology and Forensic Medicine 337
  • Surgery 190
Replace Ravi Bansal with:
Ravi Bansal United States
Sima Salahshor Sweden
GI Meling Norway
N E Beck United Kingdom
Nils Rahner Germany
Gemma Aiza Spain
R.J. Salmon France
J Girodet France
Kazuyoshi Ishibashi Japan
Kazuhisa Shitoh Japan
Manu C. Shekher relative to Ravi Bansal United States Ravi Bansal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Manu C. Shekher

Since Specialization
Citations

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

Fields of papers citing papers by Manu C. Shekher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manu C. Shekher. 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 Manu C. Shekher. The network helps show where Manu C. Shekher may publish in the future.

Co-authorship network of co-authors of Manu C. Shekher

This figure shows the co-authorship network connecting the top 25 collaborators of Manu C. Shekher. A scholar is included among the top collaborators of Manu C. Shekher 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 Manu C. Shekher. Manu C. Shekher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 7
2 1
3 303
4 10
5 1
6 18
7
Alterations in pancreatic, biliary, and breast carcinomas support MKK4 as a genetically targeted tumor suppressor gene.
143
8
Genetic alterations of the transforming growth factor beta receptor genes in pancreatic and biliary adenocarcinomas.
221
9
Pancreatic adenocarcinomas with DNA replication errors (RER+) are associated with wild-type K-ras and characteristic histopathology. Poor differentiation, a syncytial growth pattern, and pushing borders suggest RER+.
192

About Manu C. Shekher

Manu C. Shekher is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 9 papers that have together received 896 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Cancer Genomics and Diagnostics (4 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Oncology (669 citations), Cancer Research (339 citations) and Pathology and Forensic Medicine (337 citations). Manu C. Shekher has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Ralph H. Hruban, Charles J. Yeo, Michael Goggins, S E Kern, David J. Tang, Gloria H. Su, Werner Hilgers, Kenan K. Turnacioglu, Scott E. Kern and Ravi Bansal. Their work appears in journals such as Gastroenterology, American Journal Of Pathology and Genes Chromosomes and Cancer.

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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