Joseph Gans

1.0k total citations
35 papers, 438 citations indexed

About

Joseph Gans is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Joseph Gans has authored 35 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Surgery. Recurrent topics in Joseph Gans's work include Metabolism and Genetic Disorders (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Cholesterol and Lipid Metabolism (4 papers). Joseph Gans is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Cholesterol and Lipid Metabolism (4 papers). Joseph Gans collaborates with scholars based in United States, France and Norway. Joseph Gans's co-authors include Roy Korson, Stanley M. Tarka, Jason R. Mock, Ashutosh Tripathi, Niti R. Aggarwal, D. Clark Files, Jonathan Fallica, Venkataramana K. Sidhaye, Franco R. D’Alessio and Brian T. Garibaldi and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Endocrinology.

In The Last Decade

Joseph Gans

33 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Gans United States 11 114 62 62 54 48 35 438
P. Günzel Germany 17 141 1.2× 29 0.5× 31 0.5× 46 0.9× 70 1.5× 41 600
L Stanková United States 17 185 1.6× 117 1.9× 69 1.1× 29 0.5× 17 0.4× 33 890
Takashi Kusakari Japan 17 251 2.2× 75 1.2× 45 0.7× 25 0.5× 50 1.0× 31 631
M Weinberger United States 12 332 2.9× 59 1.0× 33 0.5× 27 0.5× 52 1.1× 21 700
J. Mørkholdt Andersen Denmark 5 121 1.1× 67 1.1× 51 0.8× 56 1.0× 69 1.4× 6 430
Gerd Reznik Germany 15 164 1.4× 53 0.9× 34 0.5× 85 1.6× 138 2.9× 39 628
Shyi-Wu Wang Taiwan 12 276 2.4× 56 0.9× 132 2.1× 36 0.7× 61 1.3× 13 597
Alice Dillard United States 8 147 1.3× 68 1.1× 50 0.8× 19 0.4× 47 1.0× 12 408
B.S. Mohammed United States 7 216 1.9× 124 2.0× 55 0.9× 39 0.7× 41 0.9× 8 633
Carlos Galaviz‐Hernández Mexico 16 180 1.6× 39 0.6× 87 1.4× 31 0.6× 33 0.7× 53 715

Countries citing papers authored by Joseph Gans

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Gans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Gans

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Gans. A scholar is included among the top collaborators of Joseph Gans 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 Joseph Gans. Joseph Gans 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.
Han, Hongwei, Jennifer Johnson, Joseph Gans, et al.. (2023). Cellular mechanisms and effects of IL-4 receptor blockade in experimental conjunctivitis evoked by skin inflammation. JCI Insight. 8(3). 5 indexed citations
2.
Gans, Joseph, Cheng Zhu, Srinivas Shankara, et al.. (2023). RGS1 Modulates Autophagic and Metabolic Programs and Is a Critical Mediator of Human Regulatory T Cell Function. The Journal of Immunology. 211(11). 1656–1668. 8 indexed citations
3.
Boddupalli, Chandra Sekhar, Shiny Nair, Glenn S. Belinsky, et al.. (2022). Neuroinflammation in neuronopathic Gaucher disease: Role of microglia and NK cells, biomarkers, and response to substrate reduction therapy. eLife. 11. 33 indexed citations
4.
Zhang, Yao V, Patricia Berthelette, Mahmud Hossain, et al.. (2021). Blood phenylalanine reduction reverses gene expression changes observed in a mouse model of phenylketonuria. Scientific Reports. 11(1). 22886–22886. 12 indexed citations
5.
D’Alessio, Franco R., John M. Craig, Benjamin D. Singer, et al.. (2016). Enhanced resolution of experimental ARDS through IL-4-mediated lung macrophage reprogramming. American Journal of Physiology-Lung Cellular and Molecular Physiology. 310(8). L733–L746. 83 indexed citations
6.
Gans, Joseph & Stephen J. Pintauro. (1986). Liver Scarring Induced by Polychlorinated Biphenyl Administration to Mice Previously Treated with Diethylnitrosamine. Experimental Biology and Medicine. 183(2). 207–213. 2 indexed citations
7.
Gans, Joseph. (1984). Comparative toxicities of dietary caffeine and theobromine in the rat. Food and Chemical Toxicology. 22(5). 365–369. 35 indexed citations
8.
Mulcahy, Linda S. & Joseph Gans. (1983). The fidelity of mouse liver mitochondrial DNA polymerase following long-term administration of carbon tetrachloride, diethylnitrosamine, or phenobarbital.. Molecular Pharmacology. 24(2). 329–335. 2 indexed citations
9.
Gans, Joseph. (1982). Dietary influences on theobromine-induced toxicity in rats. Toxicology and Applied Pharmacology. 63(2). 312–320. 19 indexed citations
10.
Tarka, Stanley M., et al.. (1981). Effects of continuous administration of dietary theobromine on rat testicular weight and morphology. Toxicology and Applied Pharmacology. 58(1). 76–82. 23 indexed citations
11.
Gans, Joseph, et al.. (1980). Effects of short-term and long-term theobromine administration to male dogs. Toxicology and Applied Pharmacology. 53(3). 481–496. 53 indexed citations
12.
Smuckler, Edward A. & Joseph Gans. (1980). The in vivo incorporation of tritiated thymidine into liver cell nuclear DNA in mice treated chronically with carbon tetrachloride or with diethylnitrosamine. Experimental and Molecular Pathology. 33(1). 65–73. 5 indexed citations
13.
Gans, Joseph, et al.. (1973). In Vivo Incorporation of 14C into Liver and Kidney Sterols from Parenterally Administered [2-14C]d,l-Mevalonic Acid. Experimental Biology and Medicine. 144(2). 609–612. 1 indexed citations
14.
Gans, Joseph, et al.. (1972). Effect of ACTH and Aminoglutethimide on Cholesterol Metabolism in Sheep Adrenal Cortex in Vitro12. Endocrinology. 90(3). 787–794. 5 indexed citations
15.
Gans, Joseph, et al.. (1970). Norepinephrine induced cardiac hypertrophy in dogs. Life Sciences. 9(13). 731–740. 30 indexed citations
16.
Gans, Joseph. (1966). Renal excretion of urea in sheep.. American Journal of Veterinary Research. 27. 1279–1283. 7 indexed citations
17.
Gans, Joseph. (1966). EPINEPHRINE AND CHOLESTEROL METABOLISM IN THE DOG. HEPATIC METABOLISM OF PYRUVATE AND MEVALONATE IN VITRO. Journal of Pharmacology and Experimental Therapeutics. 151(1). 151–157. 7 indexed citations
18.
Gans, Joseph, et al.. (1966). Turnover of radiocholate in the bile acid pool of the dog. Life Sciences. 5(2). 97–104. 1 indexed citations
19.
Gans, Joseph & Paul F. Mercer. (1962). Effect of osmotic diuretics and vasopressin on renal function in the sheep.. American Journal of Veterinary Research. 23. 230–235. 7 indexed citations
20.
Gans, Joseph. (1960). Bile secretion during experimental hyperthyroidism in the dog. American Journal of Physiology-Legacy Content. 199(5). 893–897. 4 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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