Jon M. Resch

3.1k total citations · 1 hit paper
36 papers, 2.1k citations indexed

About

Jon M. Resch is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Physiology. According to data from OpenAlex, Jon M. Resch has authored 36 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrine and Autonomic Systems, 11 papers in Molecular Biology and 11 papers in Physiology. Recurrent topics in Jon M. Resch's work include Regulation of Appetite and Obesity (13 papers), Adipose Tissue and Metabolism (9 papers) and Neuroendocrine regulation and behavior (7 papers). Jon M. Resch is often cited by papers focused on Regulation of Appetite and Obesity (13 papers), Adipose Tissue and Metabolism (9 papers) and Neuroendocrine regulation and behavior (7 papers). Jon M. Resch collaborates with scholars based in United States, Israel and United Kingdom. Jon M. Resch's co-authors include Bradford B. Lowell, Henning Fenselau, Joseph C. Madara, John N. Campbell, Anne M.J. Verstegen, Yoav Livneh, Linus Tsai, Anna Lyubetskaya, Tune H. Pers and Steven A. McCarroll and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jon M. Resch

33 papers receiving 2.1k citations

Hit Papers

A molecular census of arcuate hypothalamus and median emi... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon M. Resch United States 17 919 637 430 388 377 36 2.1k
Henning Fenselau Germany 16 964 1.0× 550 0.9× 466 1.1× 397 1.0× 350 0.9× 27 2.0k
Shigetomo Suyama Japan 16 1.0k 1.1× 588 0.9× 406 0.9× 225 0.6× 239 0.6× 23 1.8k
John N. Campbell United States 20 1.3k 1.4× 879 1.4× 493 1.1× 449 1.2× 471 1.2× 34 2.5k
Fanny Langlet France 20 1.2k 1.3× 645 1.0× 545 1.3× 192 0.5× 251 0.7× 30 2.3k
Jong‐Woo Sohn South Korea 26 1.2k 1.3× 788 1.2× 671 1.6× 202 0.5× 407 1.1× 60 2.6k
Siok L. Dun United States 21 818 0.9× 395 0.6× 396 0.9× 229 0.6× 414 1.1× 31 2.0k
Shane T. Hentges United States 26 1.0k 1.1× 510 0.8× 605 1.4× 391 1.0× 651 1.7× 51 2.4k
Joseph C. Madara United States 22 1.8k 1.9× 793 1.2× 358 0.8× 847 2.2× 659 1.7× 29 2.8k
Églantine Balland Australia 12 1.1k 1.2× 725 1.1× 258 0.6× 203 0.5× 168 0.4× 16 1.8k
Chia Li United States 23 988 1.1× 612 1.0× 483 1.1× 650 1.7× 992 2.6× 38 2.4k

Countries citing papers authored by Jon M. Resch

Since Specialization
Citations

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

Fields of papers citing papers by Jon M. Resch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon M. Resch. 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 Jon M. Resch. The network helps show where Jon M. Resch may publish in the future.

Co-authorship network of co-authors of Jon M. Resch

This figure shows the co-authorship network connecting the top 25 collaborators of Jon M. Resch. A scholar is included among the top collaborators of Jon M. Resch 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 Jon M. Resch. Jon M. Resch 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
1.
Shutov, Leonid P., Jon M. Resch, Alexander G. Bassuk, et al.. (2025). Activation of TRPA1 and TRPM3 triggers Ca 2+ waves in central terminals of sensory neurons and facilitates synaptic activity in the spinal dorsal horn. The Journal of Physiology. 603(20). 6365–6389.
2.
Grady, Fillan S., Silvia Gasparini, Yuxi Li, et al.. (2025). Parabrachial Foxp2-expressing neurons are necessary for sustaining core body temperature in the cold. iScience. 28(8). 112764–112764. 1 indexed citations
3.
Guo, Deng‐Fu, Paul A. Williams, Donald A. Morgan, et al.. (2025). The brainstem BBSome regulates glucose homeostasis and lean mass in a state-dependent manner. Molecular Metabolism. 100. 102222–102222.
4.
Resch, Jon M., et al.. (2024). Control of sodium appetite by hindbrain aldosterone-sensitive neurons. Molecular and Cellular Endocrinology. 592. 112323–112323. 1 indexed citations
5.
Bahl, Ethan, Snehajyoti Chatterjee, Yann Vanrobaeys, et al.. (2024). Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data. Nature Communications. 15(1). 779–779. 7 indexed citations
6.
Gasparini, Silvia, et al.. (2024). Aldosterone-induced salt appetite requires HSD2 neurons. JCI Insight. 9(23). 1 indexed citations
7.
Douglass, Amelia M, Jon M. Resch, Joseph C. Madara, et al.. (2023). Neural basis for fasting activation of the hypothalamic–pituitary–adrenal axis. Nature. 620(7972). 154–162. 52 indexed citations
8.
Deng, Yue, Kenji Saito, Guorui Deng, et al.. (2022). Elucidating the role of Rgs2 expression in the PVN for metabolic homeostasis in mice. Molecular Metabolism. 66. 101622–101622. 7 indexed citations
9.
Livneh, Yoav, Arthur U. Sugden, Joseph C. Madara, et al.. (2020). Estimation of Current and Future Physiological States in Insular Cortex. Neuron. 105(6). 1094–1111.e10. 132 indexed citations
10.
Hu, Bo, Chengcheng Jin, Xing Zeng, et al.. (2020). γδ T cells and adipocyte IL-17RC control fat innervation and thermogenesis. Nature. 578(7796). 610–614. 137 indexed citations
11.
Perry, Rachel J., Jon M. Resch, Amelia M Douglass, et al.. (2019). Leptin’s hunger-suppressing effects are mediated by the hypothalamic–pituitary–adrenocortical axis in rodents. Proceedings of the National Academy of Sciences. 116(27). 13670–13679. 65 indexed citations
12.
Zeng, Xing, Mengchen Ye, Jon M. Resch, et al.. (2019). Innervation of thermogenic adipose tissue via a calsyntenin 3β–S100b axis. Nature. 569(7755). 229–235. 138 indexed citations
13.
Gasparini, Silvia, et al.. (2018). Aldosterone-sensitive HSD2 neurons in mice. Brain Structure and Function. 224(1). 387–417. 49 indexed citations
14.
Machado, Natalia, Stephen B.G. Abbott, Jon M. Resch, et al.. (2018). A Glutamatergic Hypothalamomedullary Circuit Mediates Thermogenesis, but Not Heat Conservation, during Stress-Induced Hyperthermia. Current Biology. 28(14). 2291–2301.e5. 43 indexed citations
15.
Livneh, Yoav, Rohan N. Ramesh, Christian R. Burgess, et al.. (2017). Homeostatic circuits selectively gate food cue responses in insular cortex. Nature. 546(7660). 611–616. 212 indexed citations
16.
Resch, Jon M., Henning Fenselau, Joseph C. Madara, et al.. (2017). Aldosterone-Sensing Neurons in the NTS Exhibit State-Dependent Pacemaker Activity and Drive Sodium Appetite via Synergy with Angiotensin II Signaling. Neuron. 96(1). 190–206.e7. 73 indexed citations
17.
Hurley, Marja M., et al.. (2016). N-acetylcysteine decreases binge eating in a rodent model. International Journal of Obesity. 40(7). 1183–1186. 16 indexed citations
18.
Lutgen, Victoria, Jon M. Resch, Linghai Kong, et al.. (2014). Behavioral assessment of acute inhibition of system xc - in rats. Psychopharmacology. 231(24). 4637–4647. 15 indexed citations
20.
Kraft, Andrew D., et al.. (2007). Activation of the Nrf2–ARE pathway in muscle and spinal cord during ALS-like pathology in mice expressing mutant SOD1. Experimental Neurology. 207(1). 107–117. 69 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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