Eric J. Simon

8.9k total citations · 2 hit papers
177 papers, 6.7k citations indexed

About

Eric J. Simon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Eric J. Simon has authored 177 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Molecular Biology, 99 papers in Cellular and Molecular Neuroscience and 17 papers in Physiology. Recurrent topics in Eric J. Simon's work include Neuropeptides and Animal Physiology (82 papers), Receptor Mechanisms and Signaling (71 papers) and Pharmacological Receptor Mechanisms and Effects (42 papers). Eric J. Simon is often cited by papers focused on Neuropeptides and Animal Physiology (82 papers), Receptor Mechanisms and Signaling (71 papers) and Pharmacological Receptor Mechanisms and Effects (42 papers). Eric J. Simon collaborates with scholars based in United States, Germany and Switzerland. Eric J. Simon's co-authors include Jacob M. Hiller, David Shemin, Irit Edelman, J Groth, Theresa L. Gioannini, L. ANGEL, Yossef Itzhak, Ade T. Milhorat, Matthew L. Andria and Neil J. Clendeninn and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Eric J. Simon

172 papers receiving 6.2k citations

Hit Papers

The Preparation of S-Succinyl Coenzyme A 1953 2026 1977 2001 1953 1973 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric J. Simon United States 42 4.4k 3.3k 1.2k 350 346 177 6.7k
Jacques Hanoune France 44 5.2k 1.2× 3.3k 1.0× 1.6k 1.3× 542 1.5× 381 1.1× 179 8.4k
C I Ragan United Kingdom 45 5.0k 1.1× 2.0k 0.6× 969 0.8× 395 1.1× 330 1.0× 134 7.1k
Yung-Chi Cheng United States 17 8.9k 2.0× 5.0k 1.5× 1.1k 0.9× 295 0.8× 383 1.1× 20 12.6k
H. Steve White United States 64 5.1k 1.2× 7.8k 2.3× 1.2k 1.0× 300 0.9× 319 0.9× 266 13.8k
Sherwin Wilk United States 42 3.1k 0.7× 2.1k 0.6× 514 0.4× 711 2.0× 206 0.6× 124 5.6k
Jean Christophe Belgium 46 4.6k 1.1× 4.0k 1.2× 938 0.8× 364 1.0× 220 0.6× 350 7.5k
Alan Wise United Kingdom 39 4.5k 1.0× 3.6k 1.1× 1.2k 1.0× 394 1.1× 113 0.3× 145 7.6k
Tae‐Cheon Kang South Korea 38 2.5k 0.6× 1.9k 0.6× 702 0.6× 476 1.4× 188 0.5× 271 5.4k
Heidrun Potschka Germany 49 2.0k 0.4× 3.2k 0.9× 588 0.5× 204 0.6× 276 0.8× 216 9.8k
Kuo‐Ping Huang United States 46 4.5k 1.0× 1.7k 0.5× 810 0.7× 1.1k 3.2× 284 0.8× 115 6.3k

Countries citing papers authored by Eric J. Simon

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric J. Simon. 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 Eric J. Simon. The network helps show where Eric J. Simon may publish in the future.

Co-authorship network of co-authors of Eric J. Simon

This figure shows the co-authorship network connecting the top 25 collaborators of Eric J. Simon. A scholar is included among the top collaborators of Eric J. Simon 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 Eric J. Simon. Eric J. Simon 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.
Steixner-Kumar, Agnes A., Diana Santacruz, Tobias Geiger, et al.. (2025). Single-cell landscape of peripheral immune cells in MASLD/MASH. Hepatology Communications. 9(5). 1 indexed citations
2.
Königshofer, Philipp, Ksenia Brusilovskaya, Benedikt Hofer, et al.. (2024). Transcriptomic signatures of progressive and regressive liver fibrosis and portal hypertension. iScience. 27(3). 109301–109301. 4 indexed citations
3.
Efthymiou, Vissarion, Lianggong Ding, Miroslav Baláž, et al.. (2023). Inhibition of AXL receptor tyrosine kinase enhances brown adipose tissue functionality in mice. Nature Communications. 14(1). 4162–4162. 9 indexed citations
4.
Simon, Eric J., Mei Li, Werner Rust, et al.. (2023). Transcriptomic profiling of induced steatosis in human and mouse precision-cut liver slices. Scientific Data. 10(1). 304–304. 7 indexed citations
5.
Schumann, Tina, Jörg König, Christian von Loeffelholz, et al.. (2021). Deletion of the diabetes candidate gene Slc16a13 in mice attenuates diet-induced ectopic lipid accumulation and insulin resistance. Communications Biology. 4(1). 826–826. 14 indexed citations
6.
Becker, Kolja, Holger Klein, Eric J. Simon, et al.. (2021). In-depth transcriptomic analysis of human retina reveals molecular mechanisms underlying diabetic retinopathy. Scientific Reports. 11(1). 10494–10494. 49 indexed citations
7.
Bigaeva, Emilia, Eric J. Simon, Matthias Zwick, et al.. (2019). Transcriptomic characterization of culture-associated changes in murine and human precision-cut tissue slices. Archives of Toxicology. 93(12). 3549–3583. 26 indexed citations
8.
Leparc, Germán, Matthias Zwick, Tanja Schönberger, et al.. (2019). Exploiting orthology and de novo transcriptome assembly to refine target sequence information. BMC Medical Genomics. 12(1). 69–69. 2 indexed citations
9.
Salem, Heba, Heike Neubauer, Eric J. Simon, et al.. (2019). Elevated β-cell stress levels promote severe diabetes development in mice with MODY4. Journal of Endocrinology. 244(2). 323–337. 6 indexed citations
10.
Simon, Eric J., et al.. (2011). Campbell Biology: Concepts & Connections. 5 indexed citations
11.
Andria, Matthew L., et al.. (2006). A member of the heat shock protein 40 family, hlj1, binds to the carboxyl tail of the human mu opioid receptor. Brain Research. 1081(1). 28–33. 12 indexed citations
12.
Simon, Eric J.. (2002). An Experiment Using Electronic Books in the Classroom. Journal of Computers in Mathematics and Science Teaching. 21(1). 53–66. 13 indexed citations
13.
Simon, Eric J.. (1991). Opioid receptors and endogenous opioid peptides. Medicinal Research Reviews. 11(4). 357–374. 91 indexed citations
14.
Hiller, Jacob M., et al.. (1987). DISTRIBUTION OF 3H-MORPHINE FOLLOWING LUMBAR EPIDURAL ADMINISTRATION IN RABBITS. Anesthesiology. 67(3). A253–A253. 3 indexed citations
15.
Hiller, Jacob M., Yossef Itzhak, & Eric J. Simon. (1987). Selective changes in μ, δ and ϰ opioid receptor binding in certain limbic regions of the brain in Alzheimer's disease patients. Brain Research. 406(1-2). 17–23. 73 indexed citations
16.
Klopman, Gilles, Orest T. Macina, Eric J. Simon, & Jacob M. Hiller. (1986). Computer automated structure evaluation of opiate alkaloids. Journal of Molecular Structure THEOCHEM. 134(3-4). 299–308. 11 indexed citations
17.
Archer, Sydney, et al.. (1986). ChemInform Abstract: Hybromet: A Ligand for Purifying Opioid Receptors.. Chemischer Informationsdienst. 17(14). 1 indexed citations
18.
Archer, Sydney, et al.. (1985). Hybromet: a ligand for purifying opioid receptors. Journal of Medicinal Chemistry. 28(12). 1950–1953. 4 indexed citations
19.
Hiller, Jacob M., L. ANGEL, & Eric J. Simon. (1981). Multiple Opiate Receptors: Alcohol Selectively Inhibits Binding to Delta Receptors. Science. 214(4519). 468–469. 125 indexed citations
20.
Simon, Eric J., et al.. (1969). Changes in SGOT activity during treatment with ethionamide.. PubMed. 50(4). 314–22. 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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