Harshpreet Chandok

545 citations
16 papers · 386 indexed · h-index 9
Topics
Cancer Genomics and Diagnostics (6 papers)BRCA gene mutations in cancer (2 papers)Muscle Physiology and Disorders (2 papers)
Partner nations
United StatesIndiaCanada

In The Last Decade

Harshpreet Chandok

15 papers receiving 378 citations

Peers

Harshpreet Chandok
Comparison fields: 5 of 81
  • Molecular Biology 186
  • Physiology 115
  • Neurology 67
  • Developmental Neuroscience 62
  • Oncology 57
Replace Chandresh R. Gajera with:
Chandresh R. Gajera United States
Jessica A. Beck United States
Doyeun Kim South Korea
Fuminori Saitoh Japan
Alejandra Catenaccio Chile
Nicolás W. Martínez Chile
Anaïs Wanet Belgium
Longteng Wang China
Nina M. Dräger United States
Shengyi Peng China
Harshpreet Chandok relative to Chandresh R. Gajera United States Chandresh R. Gajera's profile →
Citations per field
00.5×1.7×
Chandresh R. Gajera · 1×
Citations per year

Countries citing papers authored by Harshpreet Chandok

Since Specialization
Citations

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

Fields of papers citing papers by Harshpreet Chandok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harshpreet Chandok

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 1
3 33
4 7
5 14
6 14
7 83
8 3
9 1
10 6
11 13
12 19
13 160
14 17
15 2
16 13

About Harshpreet Chandok

Harshpreet Chandok is a scholar working on Cancer Research, Genetics and Biophysics, having authored 16 papers that have together received 386 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), BRCA gene mutations in cancer (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (62 citations), Aging (19 citations) and Neurology (67 citations). Harshpreet Chandok has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Alexandra M. Nicaise, Carolyn Paisie, Paul Robson, Stephen J. Crocker, Anna Williams, Laura Wagstaff, Valentina Fossati, Cory M. Willis, Joshy George and Daniel W. Youngstrom. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Cancer 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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