Hardik Shah

7.7k total citations · 1 hit paper
37 papers, 2.2k citations indexed

About

Hardik Shah is a scholar working on Molecular Biology, Clinical Biochemistry and Cancer Research. According to data from OpenAlex, Hardik Shah has authored 37 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Clinical Biochemistry and 5 papers in Cancer Research. Recurrent topics in Hardik Shah's work include Mitochondrial Function and Pathology (8 papers), Metabolism and Genetic Disorders (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Hardik Shah is often cited by papers focused on Mitochondrial Function and Pathology (8 papers), Metabolism and Genetic Disorders (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Hardik Shah collaborates with scholars based in United States, India and Japan. Hardik Shah's co-authors include Justin R. Cross, Xin Jin, Adrienne Boire, Alejandro López‐Soto, Ruzeen Patwa, Joan Massagué, Ke Xu, Qing Chen, Leni S. Jacob and Ekrem Emrah Er and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Hardik Shah

35 papers receiving 2.1k 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.

Carcinoma–astrocyte gap junctions promote brain metastasis by cGAMP transfer

2016 710 citations Qing Chen, Adrienne Boire et al. Nature profile →

Peers

Hardik Shah

IMMUN

ONCOL

PRM

John Erol Evangelista United States

André F. Rendeiro Austria

Sasha A. Singh United States

Zhuorui Xie United States

Levent M. Akyürek Sweden

Ke Jiang China

Andrea Nist Germany

Li‐Hui Tseng Taiwan

Marie‐Claude Gingras United States

John Erol Evangelista United States

Hardik Shah

1.3k ×1.1

333 ×0.6

IMMUN

338 ×0.8

248 ×0.9

ONCOL

196 ×0.8

PRM

Citations per year, relative to Hardik Shah Hardik Shah (= 1×) peers John Erol Evangelista

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

Liu, Ran, Zihan Zhang, Aye Kyaw, et al.. (2025). Cellular pan-chain acyl-CoA profiling reveals SLC25A42/SLC25A16 in mitochondrial CoA import and metabolism. Nature Metabolism. 7(9). 1871–1888. 1 indexed citations

Meliton, Angelo Y., Rengül Çetin-Atalay, Volkan Atalay, et al.. (2025). Mitochondrial one-carbon metabolism is required for TGF-β-induced glycine synthesis and fibrotic responses. Nature Communications. 16(1). 9250–9250.

Hamanaka, Robert B., Volkan Atalay, Rengül Çetin-Atalay, et al.. (2025). Arginine promotes the activation of human lung fibroblasts independent of its metabolism. Biochemical Journal. 482(12). 823–838.

Tiwari, Vinod, Byungchang Jin, Esperanza González, et al.. (2025). Glycerol-3-phosphate activates ChREBP, FGF21 transcription and lipogenesis in citrin deficiency. Nature Metabolism. 7(11). 2284–2299. 1 indexed citations

Berra, Lorenzo, Francesco Marrazzo, David A. Imber, et al.. (2024). Feasibility of Delivering 5-Day Normobaric Hypoxia Breathing in a Hospital Setting. Respiratory Care. 69(11). 1400–1408. 4 indexed citations

Shi, Xiaojian, Hardik Shah, Tsz‐Leung To, et al.. (2022). Combinatorial GxGxE CRISPR screen identifies SLC25A39 in mitochondrial glutathione transport linking iron homeostasis to OXPHOS. Nature Communications. 13(1). 2483–2483. 60 indexed citations

Ganetzky, Rebecca, Andrew L. Markhard, Irene M. Yee, et al.. (2022). Congenital Hypermetabolism and Uncoupled Oxidative Phosphorylation. New England Journal of Medicine. 387(15). 1395–1403. 21 indexed citations

Shah, Hardik, Vineet Kumar Shukla, Shamila De Silva, et al.. (2022). Desidustat in Anemia due to Non-Dialysis-Dependent Chronic Kidney Disease: A Phase 3 Study (DREAM-ND). American Journal of Nephrology. 53(5). 352–360. 24 indexed citations

Jourdain, Alexis A., Bridget E. Begg, Eran Mick, et al.. (2021). Loss of LUC7L2 and U1 snRNP subunits shifts energy metabolism from glycolysis to OXPHOS. Molecular Cell. 81(9). 1905–1919.e12. 56 indexed citations

10.

Zhang, Yuchen, Rui Guo, Hardik Shah, et al.. (2021). SARS-CoV-2 hijacks folate and one-carbon metabolism for viral replication. Nature Communications. 12(1). 1676–1676. 103 indexed citations

11.

Pujadas, Elisabet, Michael Beaumont, Hardik Shah, et al.. (2021). Molecular Profiling of Coronavirus Disease 2019 (COVID-19) Autopsies Uncovers Novel Disease Mechanisms. American Journal Of Pathology. 191(12). 2064–2071. 15 indexed citations

12.

Goodman, Russell P., Andrew L. Markhard, Hardik Shah, et al.. (2020). Hepatic NADH reductive stress underlies common variation in metabolic traits. Nature. 583(7814). 122–126. 142 indexed citations

13.

Chen, Chi-Chao, Bo Li, Scott E. Millman, et al.. (2020). Vitamin B6 Addiction in Acute Myeloid Leukemia. Cancer Cell. 37(1). 71–84.e7. 55 indexed citations

14.

To, Tsz‐Leung, Alejandro M. Cuadros, Hardik Shah, et al.. (2019). A Compendium of Genetic Modifiers of Mitochondrial Dysfunction Reveals Intra-organelle Buffering. Cell. 179(5). 1222–1238.e17. 99 indexed citations

15.

Shah, Hardik, Alex J. Poot, Fabian Correa, et al.. (2017). In Vivo Imaging of Glutamine Metabolism to the Oncometabolite 2-Hydroxyglutarate in IDH1/2 Mutant Tumors. Cell Metabolism. 26(6). 830–841.e3. 81 indexed citations

16.

Intlekofer, Andrew M., Bo Wang, Hui Liu, et al.. (2017). L-2-Hydroxyglutarate production arises from noncanonical enzyme function at acidic pH. Nature Chemical Biology. 13(5). 494–500. 190 indexed citations

17.

Monticelli, Laurel A., Michael D. Buck, Anne-Laure Flamar, et al.. (2016). Arginase 1 is an innate lymphoid-cell-intrinsic metabolic checkpoint controlling type 2 inflammation. Nature Immunology. 17(6). 656–665. 219 indexed citations

18.

Chen, Qing, Adrienne Boire, Xin Jin, et al.. (2016). Carcinoma–astrocyte gap junctions promote brain metastasis by cGAMP transfer. Nature. 533(7604). 493–498. 710 indexed citations breakdown →

19.

Bonhoure, Nicolas, Robyn D. Moir, Wassim Hodroj, et al.. (2015). Loss of the RNA polymerase III repressor MAF1 confers obesity resistance. Genes & Development. 29(9). 934–947. 92 indexed citations

20.

Acharya, Kshitish K., Darshan S. Chandrashekar, Hardik Shah, et al.. (2010). A novel tissue-specific meta-analysis approach for gene expression predictions, initiated with a mammalian gene expression testis database. BMC Genomics. 11(1). 467–467. 10 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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