Shailender Nagpal

512 citations
9 papers · 331 indexed · h-index 8
Topics
Genomic variations and chromosomal abnormalities (3 papers)Gene expression and cancer classification (3 papers)Genetics and Neurodevelopmental Disorders (2 papers)
Partner nations
United States

In The Last Decade

Shailender Nagpal

9 papers receiving 328 citations

Peers

Shailender Nagpal
Comparison fields: 5 of 74
  • Molecular Biology 188
  • Genetics 125
  • Cognitive Neuroscience 54
  • Plant Science 33
  • Social Psychology 22
Replace Sang Hoon Yoon with:
Sang Hoon Yoon South Korea
Eriko F. Jimbo Japan
Adele Mossa Italy
Karin Kojima Japan
Wendy Wenderski United States
Özlem İzci Ay Türkiye
Ilia Kurochkin Russia
A Vora United States
Thuy Le United States
Karine Siquier-Pernet France
Shailender Nagpal relative to Sang Hoon Yoon South Korea Sang Hoon Yoon's profile →
Citations per field
00.5×11×
Sang Hoon Yoon · 1×
Citations per year

Countries citing papers authored by Shailender Nagpal

Since Specialization
Citations

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

Fields of papers citing papers by Shailender Nagpal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailender Nagpal

This figure shows the co-authorship network connecting the top 25 collaborators of Shailender Nagpal. A scholar is included among the top collaborators of Shailender Nagpal 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 Shailender Nagpal. Shailender Nagpal 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 41
2 20
3 52
4 18
5 34
6
Use of a label-free quantitative platform based on MS/MS average TIC to calculate dynamics of protein complexes in insulin signaling.
7
7 53
8 17
9 89

About Shailender Nagpal

Shailender Nagpal is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology, having authored 9 papers that have together received 331 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Gene expression and cancer classification (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Genetics (125 citations), Aging (5 citations) and Cognitive Neuroscience (54 citations). Shailender Nagpal has collaborated with scholars based in United States. Frequent co-authors include Eric M. Morrow, Ece D. Gamsiz Uzun, Mazen W. Karaman, Joseph G. Hacia, Daniel H. Geschwind, Marlys L. Houck, Oliver A. Ryder, Leona G. Chemnick, Brian L. Pike and Qing Ouyang. Their work appears in journals such as Nucleic Acids Research, Cancer Research and Genome Research.

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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