Jonathan Z. Long

16.9k total citations · 6 hit papers
97 papers, 12.5k citations indexed

About

Jonathan Z. Long is a scholar working on Pharmacology, Molecular Biology and Physiology. According to data from OpenAlex, Jonathan Z. Long has authored 97 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pharmacology, 29 papers in Molecular Biology and 24 papers in Physiology. Recurrent topics in Jonathan Z. Long's work include Cannabis and Cannabinoid Research (30 papers), Adipose Tissue and Metabolism (16 papers) and Congenital Heart Disease Studies (14 papers). Jonathan Z. Long is often cited by papers focused on Cannabis and Cannabinoid Research (30 papers), Adipose Tissue and Metabolism (16 papers) and Congenital Heart Disease Studies (14 papers). Jonathan Z. Long collaborates with scholars based in United States, Denmark and Canada. Jonathan Z. Long's co-authors include Benjamin F. Cravatt, Daniel K. Nomura, Bruce M. Spiegelman, Aron H. Lichtman, Mark P. Jedrychowski, Steven P. Gygi, Steven G. Kinsey, James C. Lo, Shingo Kajimura and Anisha Korde and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jonathan Z. Long

89 papers receiving 12.3k citations

Hit Papers

5 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.

A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis

2012 3.7k citations Mark P. Jedrychowski, Li Ye et al. Nature profile →
Monoacylglycerol Lipase Regulates a Fatty Acid Network that Promotes Cancer Pathogenesis

2009 768 citations Daniel K. Nomura, Jonathan Z. Long et al. Cell profile →
Selective blockade of 2-arachidonoylglycerol hydrolysis produces cannabinoid behavioral effects

2008 745 citations Jonathan Z. Long, Benjamin F. Cravatt et al. Nature Chemical Biology profile →
Meteorin-like Is a Hormone that Regulates Immune-Adipose Interactions to Increase Beige Fat Thermogenesis

2014 737 citations Jonathan Z. Long, Katrin J. Svensson et al. Cell profile →
Endocannabinoid Hydrolysis Generates Brain Prostaglandins That Promote Neuroinflammation

2011 545 citations Daniel K. Nomura, Jonathan Z. Long et al. profile →
Chronic monoacylglycerol lipase blockade causes functional antagonism of the endocannabinoid system

2010 505 citations Jonathan Z. Long, Daniel K. Nomura et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Z. Long United States	43	5.4k	4.2k	3.7k	2.2k	2.0k	97	12.5k
Enzo Nisoli Italy	43	4.3k 0.8×	1.3k 0.3×	3.1k 0.8×	1.5k 0.7×	763 0.4×	139	8.7k
Russell H. Swerdlow United States	72	8.0k 1.5×	1.5k 0.3×	8.6k 2.3×	1.6k 0.7×	2.4k 1.2×	264	16.4k
Esther Shohami Israel	64	2.1k 0.4×	3.3k 0.8×	5.0k 1.3×	2.4k 1.1×	3.0k 1.5×	238	14.7k
Philippe Valet France	63	3.4k 0.6×	3.3k 0.8×	5.1k 1.4×	2.0k 0.9×	1.6k 0.8×	236	13.1k
Michael T. Heneka Germany	86	11.1k 2.0×	2.2k 0.5×	10.8k 2.9×	1.4k 0.6×	4.0k 2.1×	275	27.9k
Ignacio Lizasoaín Spain	60	2.8k 0.5×	933 0.2×	3.8k 1.0×	1.7k 0.7×	1.9k 1.0×	208	12.4k
Jeffrey N. Keller United States	77	6.6k 1.2×	1.3k 0.3×	7.6k 2.1×	1.9k 0.8×	2.5k 1.3×	226	17.3k
Keqiang Ye United States	71	3.4k 0.6×	1.1k 0.3×	9.0k 2.4×	787 0.4×	3.8k 2.0×	244	17.1k
Christian Behl Germany	68	5.1k 0.9×	2.9k 0.7×	7.0k 1.9×	1.7k 0.8×	3.5k 1.8×	239	18.1k
Randy Strong United States	50	5.1k 1.0×	1.1k 0.3×	5.9k 1.6×	1.8k 0.8×	1.8k 0.9×	130	13.8k

Countries citing papers authored by Jonathan Z. Long

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Z. Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Z. Long. 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 Jonathan Z. Long. The network helps show where Jonathan Z. Long may publish in the future.

Co-authorship network of co-authors of Jonathan Z. Long

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Z. Long. A scholar is included among the top collaborators of Jonathan Z. Long 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 Jonathan Z. Long. Jonathan Z. Long 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

Palaniappan, Latha, Mary B. Leonard, Jonathan Z. Long, et al.. (2025). Exercise Capacity, Endothelial Function, Muscle Mass, and Strength in Pediatric Patients With Fontan Circulation.

Pang, Zhengyuan, et al.. (2025). Mapping cellular targets of covalent cancer drugs in the entire mammalian body. Cell. 189(3). 725–738.e15.

Wang, Yu, Yunxiao Zhang, Shuke Xiao, et al.. (2025). A key role of PIEZO2 mechanosensitive ion channel in adipose sensory innervation. Cell Metabolism. 37(4). 1001–1011.e7. 5 indexed citations

Li, Veronica L., Shuke Xiao, Pascal Schlosser, et al.. (2024). SLC17A1/3 transporters mediate renal excretion of Lac-Phe in mice and humans. Nature Communications. 15(1). 6895–6895. 5 indexed citations

Tierney, Elif Seda Selamet, Latha Palaniappan, Mary B. Leonard, et al.. (2023). Design and rationale of re-energize fontan: Randomized exercise intervention designed to maximize fitness in fontan patients. American Heart Journal. 259. 68–78. 7 indexed citations

Wei, Wei, Nicholas M. Riley, Xuchao Lyu, et al.. (2023). Organism-wide, cell-type-specific secretome mapping of exercise training in mice. Cell Metabolism. 35(7). 1261–1279.e11. 45 indexed citations

Wiggenhorn, Amanda L., Veronica L. Li, Julia T. Tanzo, et al.. (2023). A class of secreted mammalian peptides with potential to expand cell-cell communication. Nature Communications. 14(1). 8125–8125. 12 indexed citations

Møller, Lisbeth L. V., Jonathan R. Davey, Steffen H. Raun, et al.. (2023). The Rho guanine dissociation inhibitor α inhibits skeletal muscle Rac1 activity and insulin action. Proceedings of the National Academy of Sciences. 120(27). e2211041120–e2211041120. 5 indexed citations

Eminağa, Okyaz, T. Jessie Ge, Jonathan Z. Long, et al.. (2023). Efficient Augmented Intelligence Framework for Bladder Lesion Detection. JCO Clinical Cancer Informatics. 7(7). e2300031–e2300031. 2 indexed citations

10.

Eminağa, Okyaz, et al.. (2023). Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence. Journal of Biomedical Informatics. 142. 104369–104369. 3 indexed citations

11.

Youssef, Alaa, Madelena Y. Ng, Jonathan Z. Long, et al.. (2023). Organizational Factors in Clinical Data Sharing for Artificial Intelligence in Health Care. JAMA Network Open. 6(12). e2348422–e2348422. 13 indexed citations

12.

Lone, Jameel, Jonathan Z. Long, & Katrin J. Svensson. (2023). Size matters: the biochemical logic of ligand type in endocrine crosstalk. PubMed. 3(1). 1 indexed citations

13.

Zhang, Yunxiao, Meaghan Loud, M. Rocio Servin‐Vences, et al.. (2022). The role of somatosensory innervation of adipose tissues. Nature. 609(7927). 569–574. 59 indexed citations

14.

Tarangelo, Amy, et al.. (2022). Nucleotide biosynthesis links glutathione metabolism to ferroptosis sensitivity. Life Science Alliance. 5(4). e202101157–e202101157. 33 indexed citations

15.

Kim, Joon T., Mark P. Jedrychowski, Wei Wei, et al.. (2020). A Plasma Protein Network Regulates PM20D1 and N-Acyl Amino Acid Bioactivity. Cell chemical biology. 27(9). 1130–1139.e4. 8 indexed citations

16.

Wise‐Faberowski, Lisa, Jonathan Z. Long, Helen Nadel, et al.. (2019). Assessment of the Reconstructed Pulmonary Circulation With Lung Perfusion Scintigraphy After Unifocalization and Repair of Tetralogy of Fallot With Major Aortopulmonary Collaterals. World Journal for Pediatric and Congenital Heart Surgery. 10(3). 313–320. 6 indexed citations

17.

Kim, Joon T., Veronica L. Li, Stephanie M. Terrell, Curt R. Fischer, & Jonathan Z. Long. (2019). Family-wide Annotation of Enzymatic Pathways by Parallel In Vivo Metabolomics. Cell chemical biology. 26(11). 1623–1629.e3. 14 indexed citations

18.

Nomura, Daniel K., Donald P. Lombardi, Jae Won Chang, et al.. (2011). Monoacylglycerol Lipase Exerts Dual Control over Endocannabinoid and Fatty Acid Pathways to Support Prostate Cancer. Chemistry & Biology. 18(7). 846–856. 218 indexed citations

19.

Long, Jonathan Z., Justin S. Cisar, Sherry Niessen, et al.. (2011). Metabolomics annotates ABHD3 as a physiologic regulator of medium-chain phospholipids. Nature Chemical Biology. 7(11). 763–765. 53 indexed citations

20.

Ahn, Kay, Douglas S. Johnson, Mauro Mileni, et al.. (2009). Discovery and Characterization of a Highly Selective FAAH Inhibitor that Reduces Inflammatory Pain. Chemistry & Biology. 16(4). 411–420. 373 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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