Hardik Shah

6.1k citations
28 papers · 1.1k indexed · 1 hit paper · h-index 14
Topics
Cancer Genomics and Diagnostics (5 papers)Genomics and Rare Diseases (4 papers)Genomics and Phylogenetic Studies (4 papers)

In The Last Decade

Hardik Shah

25 papers receiving 1.1k citations

Hit Papers

Nuclear GTPSCS functions as a lactyl-CoA synthetase to pr...2024202620252024255075

Peers

Hardik Shah
Comparison fields: 5 of 99
  • Molecular Biology 735
  • Plant Science 381
  • Cancer Research 335
  • Genetics 168
  • Pharmacology 110
Replace Christopher Flynn with:
Christopher Flynn United States
Barbara Gorgoni United Kingdom
L. De Carli Italy
Gen Fujii Japan
Xiping Zhang China
Jiaofang Shao China
Tingxi Yu United States
Chie Suzuki Japan
Jason Kang South Korea
Hardik Shah relative to Christopher Flynn United States Christopher Flynn's profile →
Citations per field
00.5×3.9×
Christopher Flynn · 1×
Citations per year

Countries citing papers authored by Hardik Shah

Since Specialization
Citations

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

Fields of papers citing papers by Hardik Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hardik Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Hardik Shah. A scholar is included among the top collaborators of Hardik Shah 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 Hardik Shah. Hardik Shah 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 0
2 2
3
Nuclear GTPSCS functions as a lactyl-CoA synthetase to promote histone lactylation and gliomagenesisbreakdown →
79
4 1
5 26
6 7
7 157
8 63
9 14
10 21
11 2
12 220
13 46
14 57
15 24
16 5
17 18
18 20
19 323
20 3

About Hardik Shah

Hardik Shah is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (335 citations), Molecular Biology (735 citations) and Plant Science (381 citations). Hardik Shah has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Ravi Sachidanandam, Charlotta Funaya, M. Reuter, Ramesh S. Pillai, Philipp Berninger, Mihoko Hosokawa, Claude Antony, Shinichiro Chuma, Robert Sebra and Eric E. Schadt. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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