Tomohito Doke

1.8k total citations · 1 hit paper
24 papers, 937 citations indexed

About

Tomohito Doke is a scholar working on Molecular Biology, Nephrology and Epidemiology. According to data from OpenAlex, Tomohito Doke has authored 24 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Nephrology and 6 papers in Epidemiology. Recurrent topics in Tomohito Doke's work include Chronic Kidney Disease and Diabetes (8 papers), Liver Disease Diagnosis and Treatment (5 papers) and Renal Diseases and Glomerulopathies (5 papers). Tomohito Doke is often cited by papers focused on Chronic Kidney Disease and Diabetes (8 papers), Liver Disease Diagnosis and Treatment (5 papers) and Renal Diseases and Glomerulopathies (5 papers). Tomohito Doke collaborates with scholars based in United States, Japan and Canada. Tomohito Doke's co-authors include Katalin Suszták, Dhanunjay Mukhi, Hailong Hu, Poonam Dhillon, Ziyuan Ma, Amin Abedini, Hongbo Liu, Xin Sheng, Michael S. Balzer and Daniel L. Aldridge and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

In The Last Decade

Tomohito Doke

22 papers receiving 928 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.

Molecular pathways that drive diabetic kidney disease

2023 202 citations Tomohito Doke, Hailong Hu et al. Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomohito Doke United States	16	427	328	141	130	111	24	937
Dhanunjay Mukhi United States	16	371 0.9×	299 0.9×	138 1.0×	97 0.7×	92 0.8×	27	853
Zhengzhe Li China	19	471 1.1×	359 1.1×	160 1.1×	83 0.6×	68 0.6×	33	1.1k
Bryan R. Conway United Kingdom	20	422 1.0×	451 1.4×	98 0.7×	149 1.1×	138 1.2×	41	1.2k
Alla Mitrofanova United States	18	344 0.8×	362 1.1×	120 0.9×	78 0.6×	112 1.0×	31	857
Denise M. Sadlier Ireland	22	572 1.3×	394 1.2×	97 0.7×	117 0.9×	103 0.9×	42	1.3k
Kimberly Reidy United States	14	573 1.3×	759 2.3×	130 0.9×	131 1.0×	172 1.5×	28	1.5k
Jijia Hu China	18	397 0.9×	294 0.9×	123 0.9×	55 0.4×	49 0.4×	35	808
Laura Márquez‐Expósito Spain	15	400 0.9×	269 0.8×	91 0.6×	93 0.7×	42 0.4×	31	916
Pierre Galichon France	17	401 0.9×	341 1.0×	79 0.6×	145 1.1×	42 0.4×	47	991

Countries citing papers authored by Tomohito Doke

Since Specialization

Citations

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

Fields of papers citing papers by Tomohito Doke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohito Doke

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohito Doke. A scholar is included among the top collaborators of Tomohito Doke 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 Tomohito Doke. Tomohito Doke 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

Sullivan, Katie, Dhanunjay Mukhi, Magaiver Andrade-Silva, et al.. (2025). Glutathione-specific gamma–glutamylcyclotransferase 1 ( CHAC1 ) increases kidney disease risk by modulating ferroptosis. Science Translational Medicine. 17(795). eadn3079–eadn3079. 3 indexed citations

Mukhi, Dhanunjay, et al.. (2025). The actin and microtubule network regulator WHAMM is identified as a key kidney disease risk gene. Cell Reports. 44(4). 115462–115462. 1 indexed citations

Ishimoto, Takuji, Kentaro Imai, Tomohito Doke, et al.. (2024). In vivo efficacy and safety of systemically administered serinol nucleic acid-modified antisense oligonucleotides in mouse kidney. Molecular Therapy — Nucleic Acids. 36(1). 102387–102387. 2 indexed citations

Doke, Tomohito & Petter Bjornstad. (2024). Endothelial–Mesenchymal Transition Switch and Diabetic Kidney Disease. Journal of the American Society of Nephrology. 35(6). 670–672. 1 indexed citations

Doke, Tomohito, et al.. (2024). The key role of altered tubule cell lipid metabolism in kidney disease development. Kidney International. 106(1). 24–34. 33 indexed citations

Doke, Tomohito, Sarmistha Mukherjee, Dhanunjay Mukhi, et al.. (2023). NAD+ precursor supplementation prevents mtRNA/RIG-I-dependent inflammation during kidney injury. Nature Metabolism. 5(3). 414–430. 62 indexed citations

Hirohama, Daigoro, Amin Abedini, Aditya Surapaneni, et al.. (2023). Unbiased Human Kidney Tissue Proteomics Identifies Matrix Metalloproteinase 7 as a Kidney Disease Biomarker. Journal of the American Society of Nephrology. 34(7). 1279–1291. 26 indexed citations

Abedini, Amin, Andrea Sánchez‐Navarro, Junnan Wu, et al.. (2023). Single-cell transcriptomics and chromatin accessibility profiling elucidate the kidney-protective mechanism of mineralocorticoid receptor antagonists. Journal of Clinical Investigation. 134(1). 22 indexed citations

Mukhi, Dhanunjay, Lingzhi Li, Hongbo Liu, et al.. (2023). ACSS2 gene variants determine kidney disease risk by controlling de novo lipogenesis in kidney tubules. Journal of Clinical Investigation. 134(4). 22 indexed citations

10.

Tsubota, Shoma, et al.. (2023). Transcriptome-Wide Association Study Identified USP24 as a Kidney Disease Risk Gene. Journal of the American Society of Nephrology. 34(11S). 680–680.

11.

Doke, Tomohito, et al.. (2023). Molecular pathways that drive diabetic kidney disease. Journal of Clinical Investigation. 133(4). 202 indexed citations breakdown →

12.

Liu, Hongbo, Tomohito Doke, Xin Sheng, et al.. (2022). Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease. Nature Genetics. 54(7). 950–962. 102 indexed citations

13.

Imai, Kentaro, Takuji Ishimoto, Tomohito Doke, et al.. (2022). Long non-coding RNA lnc-CHAF1B-3 promotes renal interstitial fibrosis by regulating EMT-related genes in renal proximal tubular cells. Molecular Therapy — Nucleic Acids. 31. 139–150. 13 indexed citations

14.

Doke, Tomohito & Katalin Suszták. (2022). The multifaceted role of kidney tubule mitochondrial dysfunction in kidney disease development. Trends in Cell Biology. 32(10). 841–853. 90 indexed citations

15.

Doke, Tomohito, Amin Abedini, Daniel L. Aldridge, et al.. (2022). Single-cell analysis identifies the interaction of altered renal tubules with basophils orchestrating kidney fibrosis. Nature Immunology. 23(6). 947–959. 75 indexed citations

16.

Balzer, Michael S., Tomohito Doke, Ya‐Wen Yang, et al.. (2022). Single-cell analysis highlights differences in druggable pathways underlying adaptive or fibrotic kidney regeneration. Nature Communications. 13(1). 4018–4018. 116 indexed citations

17.

Doke, Tomohito, Shizheng Huang, Chengxiang Qiu, et al.. (2021). Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis. Journal of Clinical Investigation. 131(10). 50 indexed citations

18.

Doke, Tomohito, Shizheng Huang, Chengxiang Qiu, et al.. (2021). Genome-wide association studies identify the role of caspase-9 in kidney disease. Science Advances. 7(45). eabi8051–eabi8051. 22 indexed citations

19.

Ishimoto, Takuji, Tomohito Doke, Akiyoshi Hirayama, et al.. (2019). Fructose increases the activity of sodium hydrogen exchanger in renal proximal tubules that is dependent on ketohexokinase. The Journal of Nutritional Biochemistry. 71. 54–62. 15 indexed citations

20.

Doke, Tomohito, Takuji Ishimoto, Satsuki Ikeda, et al.. (2018). Lacking ketohexokinase-A exacerbates renal injury in streptozotocin-induced diabetic mice. Metabolism. 85. 161–170. 18 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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