Hardik Shah

6.1k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Hardik Shah is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Hardik Shah has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Hardik Shah's work include Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (4 papers) and Genomics and Phylogenetic Studies (4 papers). Hardik Shah is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genomics and Rare Diseases (4 papers) and Genomics and Phylogenetic Studies (4 papers). Hardik Shah collaborates with scholars based in United States, Italy and Germany. Hardik Shah's co-authors include Ravi Sachidanandam, M. Reuter, Shinichiro Chuma, Mihoko Hosokawa, Philipp Berninger, Claude Antony, Charlotta Funaya, Ramesh S. Pillai, Eric E. Schadt and Robert Sebra and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Hardik Shah

25 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nuclear GTPSCS functions as a lactyl-CoA synthetase to promote histone lactylation and gliomagenesis

2024 79 citations Ruilong Liu, Xuelian Ren et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hardik Shah United States	14	735	381	335	168	110	28	1.1k
Jiaofang Shao China	17	587 0.8×	289 0.8×	214 0.6×	84 0.5×	46 0.4×	34	1.0k
Christopher Flynn United States	16	1.1k 1.5×	98 0.3×	123 0.4×	170 1.0×	375 3.4×	33	1.5k
Chie Suzuki Japan	14	540 0.7×	92 0.2×	94 0.3×	89 0.5×	39 0.4×	26	898
L. De Carli Italy	18	552 0.8×	191 0.5×	224 0.7×	212 1.3×	29 0.3×	68	906
Barbara Gorgoni United Kingdom	13	655 0.9×	49 0.1×	199 0.6×	198 1.2×	111 1.0×	15	1.1k
Guangming Li China	20	777 1.1×	435 1.1×	359 1.1×	36 0.2×	25 0.2×	55	1.3k
Salma Awad United States	16	593 0.8×	80 0.2×	48 0.1×	141 0.8×	45 0.4×	20	805
Gen Fujii Japan	19	718 1.0×	47 0.1×	162 0.5×	91 0.5×	58 0.5×	52	1.1k
Tingxi Yu United States	17	685 0.9×	58 0.2×	269 0.8×	74 0.4×	50 0.5×	35	942

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

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20 of 20 papers shown

Nengroo, Mushtaq Ahmad, A. Klein, Heather S. Carr, et al.. (2025). Accumulation of succinate suppresses de novo purine synthesis through succinylation-mediated control of the mitochondrial folate cycle. Molecular Cell. 85(22). 4215–4228.e9.

Saxena, Mansi, Jonathan F. Anker, Julia Kodysh, et al.. (2025). Atezolizumab plus personalized neoantigen vaccination in urothelial cancer: a phase 1 trial. Nature Cancer. 6(6). 988–999. 2 indexed citations

Liu, Ruilong, Xuelian Ren, Yae Eun Park, et al.. (2024). Nuclear GTPSCS functions as a lactyl-CoA synthetase to promote histone lactylation and gliomagenesis. Cell Metabolism. 37(2). 377–394.e9. 79 indexed citations breakdown →

Shah, Hardik, et al.. (2024). Optimized Polyhydroxybutyrate Production by Neobacillus niacini GS1 Utilizing Corn Flour, Wheat Bran, and Peptone: A Sustainable Approach. SHILAP Revista de lepidopterología. 4(4). 1164–1177. 1 indexed citations

Lacaze, Paul, Kathlyn J. Ronaldson, Eunice J. Zhang, et al.. (2020). Genetic associations with clozapine-induced myocarditis in patients with schizophrenia. Translational Psychiatry. 10(1). 37–37. 26 indexed citations

Richter, Felix, Nihir Patel, Oscar L. Rodriguez, et al.. (2020). Elucidation of de novo small insertion/deletion biology with parent‐of‐origin phasing. Human Mutation. 41(4). 800–806. 1 indexed citations

Wang, Ying‐Chih, Nathan D. Olson, Gintaras Deikus, et al.. (2019). High-coverage, long-read sequencing of Han Chinese trio reference samples. Scientific Data. 6(1). 91–91. 7 indexed citations

Laverty, Kaitlin U., Jake Stout, Mitchell J. Sullivan, et al.. (2018). A physical and genetic map of Cannabis sativa identifies extensive rearrangements at the THC/CBD acid synthase loci. Genome Research. 29(1). 146–156. 157 indexed citations

Watson, Corey T., Ariella Cohain, Robert S. Griffin, et al.. (2017). Integrative transcriptomic analysis reveals key drivers of acute peanut allergic reactions. Nature Communications. 8(1). 1943–1943. 63 indexed citations

10.

Linderman, Michael D., Ali Bashir, George A. Díaz, et al.. (2015). Preparing the next generation of genomicists: a laboratory-style course in medical genomics. BMC Medical Genomics. 8(1). 47–47. 14 indexed citations

11.

Sanderson, Saskia C., Michael D. Linderman, Randi E. Zinberg, et al.. (2015). How do students react to analyzing their own genomes in a whole-genome sequencing course?: outcomes of a longitudinal cohort study. Genetics in Medicine. 17(11). 866–874. 21 indexed citations

12.

Brohl, Andrew S., Hardik Shah, Ying‐Chih Wang, Andrew Kasarskis, & Robert G. Maki. (2015). The somatic mutational landscape in soft tissue sarcoma: Early results from TCGA data.. Journal of Clinical Oncology. 33(15_suppl). 10508–10508. 2 indexed citations

13.

Martignetti, John A., Olga Camacho‐Vanegas, Nolan Priedigkeit, et al.. (2014). Personalized Ovarian Cancer Disease Surveillance and Detection of Candidate Therapeutic Drug Target in Circulating Tumor DNA. Neoplasia. 16(1). 97–W29. 46 indexed citations

14.

Parikh, Aditya, Christine Lee, Peronne Joseph, et al.. (2014). microRNA-181a has a critical role in ovarian cancer progression through the regulation of the epithelial–mesenchymal transition. Nature Communications. 5(1). 2977–2977. 220 indexed citations

15.

Linderman, Michael D., Tracy Brandt, Lisa Edelmann, et al.. (2014). Analytical validation of whole exome and whole genome sequencing for clinical applications. BMC Medical Genomics. 7(1). 20–20. 57 indexed citations

16.

Sanderson, Saskia C., Michael D. Linderman, Andrew Kasarskis, et al.. (2013). Informed decision-making among students analyzing their personal genomes on a whole genome sequencing course: a longitudinal cohort study. Genome Medicine. 5(12). 113–113. 24 indexed citations

17.

Mosig, Rebecca, Liang‐In Lin, Emir Senturk, et al.. (2012). Application of RNA-Seq transcriptome analysis: CD151 is an Invasion/Migration target in all stages of epithelial ovarian cancer. Journal of Ovarian Research. 5(1). 4–4. 18 indexed citations

18.

Mosig, Rebecca, Emir Senturk, Hardik Shah, et al.. (2012). IGFBP-4 tumor and serum levels are increased across all stages of epithelial ovarian cancer. Journal of Ovarian Research. 5(1). 3–3. 20 indexed citations

19.

Reuter, M., Philipp Berninger, Shinichiro Chuma, et al.. (2011). Miwi catalysis is required for piRNA amplification-independent LINE1 transposon silencing. Nature. 480(7376). 264–267. 323 indexed citations

20.

Gurtowski, James, et al.. (2010). Geoseq: a tool for dissecting deep-sequencing datasets. BMC Bioinformatics. 11(1). 506–506. 3 indexed citations

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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