Tanmay Nath

2.8k total citations · 2 hit papers
18 papers, 1.4k citations indexed

About

Tanmay Nath is a scholar working on Cognitive Neuroscience, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Tanmay Nath has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in Tanmay Nath's work include Functional Brain Connectivity Studies (3 papers), Thyroid Disorders and Treatments (3 papers) and Human-Animal Interaction Studies (2 papers). Tanmay Nath is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Thyroid Disorders and Treatments (3 papers) and Human-Animal Interaction Studies (2 papers). Tanmay Nath collaborates with scholars based in United States, India and Italy. Tanmay Nath's co-authors include Mackenzie Weygandt Mathis, Alexander Mathis, Amir Patel, Matthias Bethge, Adriana Di Martino, Michael P. Milham, Valentina Di Santo, Shaokai Ye, Jessy Lauer and William Menegas and has published in prestigious journals such as PLoS ONE, NeuroImage and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Tanmay Nath

18 papers receiving 1.3k 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.

Using DeepLabCut for 3D markerless pose estimation across species and behaviors

2019 763 citations Tanmay Nath, Alexander Mathis et al. Nature Protocols profile →
Multi-animal pose estimation, identification and tracking with DeepLabCut

2022 264 citations Jessy Lauer, Mu Zhou et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tanmay Nath United States	11	422	227	174	174	144	18	1.4k
Talmo Pereira United States	11	312 0.7×	253 1.1×	166 1.0×	151 0.9×	118 0.8×	17	1.1k
Mikhail Kislin Finland	12	207 0.5×	242 1.1×	143 0.8×	76 0.4×	79 0.5×	31	972
Amir Patel South Africa	12	249 0.6×	185 0.8×	154 0.9×	109 0.6×	138 1.0×	41	1.2k
Jumpei Matsumoto Japan	19	677 1.6×	207 0.9×	44 0.3×	303 1.7×	67 0.5×	66	1.2k
Taiga Abe United States	3	963 2.3×	755 3.3×	481 2.8×	353 2.0×	238 1.7×	6	2.6k
Pranav Mamidanna Denmark	5	969 2.3×	758 3.3×	474 2.7×	354 2.0×	236 1.6×	7	2.6k
Timothy Dunn United States	14	410 1.0×	569 2.5×	543 3.1×	87 0.5×	61 0.4×	33	1.4k
Ann Kennedy United States	15	336 0.8×	320 1.4×	88 0.5×	320 1.8×	38 0.3×	27	1.1k
Oliver Baumann Australia	23	1.1k 2.6×	272 1.2×	55 0.3×	235 1.4×	78 0.5×	75	2.0k
Kevin M. Cury United States	4	994 2.4×	955 4.2×	474 2.7×	353 2.0×	235 1.6×	4	2.8k

Countries citing papers authored by Tanmay Nath

Since Specialization

Citations

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

Fields of papers citing papers by Tanmay Nath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanmay Nath

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

All Works

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18 of 18 papers shown

Gao, Li, John Skinner, Tanmay Nath, et al.. (2024). Resistin predicts disease severity and survival in patients with pulmonary arterial hypertension. Respiratory Research. 25(1). 235–235. 1 indexed citations

Ding, Ning, Tanmay Nath, Mahendra Damarla, Li Gao, & Paul M. Hassoun. (2024). Early predictive values of clinical assessments for ARDS mortality: a machine-learning approach. Scientific Reports. 14(1). 17853–17853. 2 indexed citations

Santhanam, Prasanna, Tanmay Nath, Cheng Peng, et al.. (2023). Artificial intelligence and body composition. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 17(3). 102732–102732. 18 indexed citations

Lauer, Jessy, Mu Zhou, Shaokai Ye, et al.. (2022). Multi-animal pose estimation, identification and tracking with DeepLabCut. Nature Methods. 19(4). 496–504. 264 indexed citations breakdown →

Nath, Tanmay, Brian Caffo, Tor D. Wager, & Martin A. Lindquist. (2022). A machine learning based approach towards high-dimensional mediation analysis. NeuroImage. 268. 119843–119843. 11 indexed citations

Saxena, Sanjay, Biswajit Jena, Neha Gupta, et al.. (2022). Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine. Cancers. 14(12). 2860–2860. 66 indexed citations

Santhanam, Prasanna, et al.. (2022). Relationship Between TSH Levels and Cognition in the Young Adult: An Analysis of the Human Connectome Project Data. The Journal of Clinical Endocrinology & Metabolism. 107(7). 1897–1905. 3 indexed citations

Khitan, Zeid, Tanmay Nath, & Prasanna Santhanam. (2021). Machine learning approach to predicting albuminuria in persons with type 2 diabetes: An analysis of the LOOK AHEAD Cohort. Journal of Clinical Hypertension. 23(12). 2137–2145. 11 indexed citations

Santhanam, Prasanna, Lilja B. Sólnes, Tanmay Nath, et al.. (2021). Real-time quantitation of thyroidal radioiodine uptake in thyroid disease with monitoring by a collar detection device. Scientific Reports. 11(1). 18479–18479. 3 indexed citations

10.

Nath, Tanmay, Rexford S. Ahima, & Prasanna Santhanam. (2021). Body fat predicts exercise capacity in persons with Type 2 Diabetes Mellitus: A machine learning approach. PLoS ONE. 16(3). e0248039–e0248039. 5 indexed citations

11.

Santhanam, Prasanna, et al.. (2020). Artificial intelligence may offer insight into factors determining individual TSH level. PLoS ONE. 15(5). e0233336–e0233336. 10 indexed citations

12.

Nath, Tanmay, Rexford S. Ahima, & Prasanna Santhanam. (2020). DXA measured body composition predicts blood pressure using machine learning methods. Journal of Clinical Hypertension. 22(6). 1098–1100. 6 indexed citations

13.

Nath, Tanmay, et al.. (2019). Using DeepLabCut for 3D markerless pose estimation across species and behaviors. Nature Protocols. 14(7). 2152–2176. 763 indexed citations breakdown →

14.

Nath, Tanmay, Gerit Arne Linneweber, Annelies Claeys, et al.. (2018). A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila. PLoS Computational Biology. 14(8). e1006410–e1006410. 20 indexed citations

15.

Floris, Dorothea L., Meng‐Chuan Lai, Tanmay Nath, Michael P. Milham, & Adriana Di Martino. (2018). Network-specific sex differentiation of intrinsic brain function in males with autism. Molecular Autism. 9(1). 17–17. 41 indexed citations

16.

Aoki, Yuta, Yuliya Yoncheva, Bosi Chen, et al.. (2017). Association of White Matter Structure With Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder. JAMA Psychiatry. 74(11). 1120–1120. 103 indexed citations

17.

Davis, Ben, David Melcher, Gabriele Miceli, et al.. (2015). Brains of verbal memory specialists show anatomical differences in language, memory and visual systems. NeuroImage. 131. 181–192. 25 indexed citations

18.

Nath, Tanmay, et al.. (2014). Automated Social Behaviour Recognition at Low Resolution. 4. 2323–2328. 1 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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