Jim C. Fong

971 total citations
55 papers, 841 citations indexed

About

Jim C. Fong is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jim C. Fong has authored 55 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 13 papers in Physiology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jim C. Fong's work include Metabolism, Diabetes, and Cancer (17 papers), Protein Kinase Regulation and GTPase Signaling (13 papers) and Peroxisome Proliferator-Activated Receptors (13 papers). Jim C. Fong is often cited by papers focused on Metabolism, Diabetes, and Cancer (17 papers), Protein Kinase Regulation and GTPase Signaling (13 papers) and Peroxisome Proliferator-Activated Receptors (13 papers). Jim C. Fong collaborates with scholars based in Taiwan, United States and China. Jim C. Fong's co-authors include Horst Schulz, Yin Liang, B.I. Hirschowitz, Yijuang Chern, E Molina, Menek Goldstein, Krista M. Giglio, Holger Sondermann, Fitnat H. Yildiz and Vivek Raut and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Biochemical Journal.

In The Last Decade

Jim C. Fong

55 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jim C. Fong Taiwan	16	531	193	142	102	72	55	841
M. K. Haddox United States	13	636 1.2×	245 1.3×	138 1.0×	59 0.6×	27 0.4×	21	1.0k
Ikuo Imamura Japan	16	311 0.6×	196 1.0×	98 0.7×	146 1.4×	51 0.7×	49	807
Tara Menon United States	4	374 0.7×	150 0.8×	133 0.9×	80 0.8×	22 0.3×	5	673
Russell Hyde United Kingdom	12	742 1.4×	184 1.0×	73 0.5×	96 0.9×	93 1.3×	13	1.1k
Simone Harbon France	22	816 1.5×	352 1.8×	255 1.8×	49 0.5×	16 0.2×	54	1.4k
Eleonora Paradies Italy	11	702 1.3×	176 0.9×	42 0.3×	59 0.6×	209 2.9×	18	922
Erika Davies United States	6	837 1.6×	131 0.7×	203 1.4×	33 0.3×	70 1.0×	7	1.1k
R. Maier Switzerland	19	505 1.0×	107 0.6×	230 1.6×	92 0.9×	34 0.5×	54	1.3k
Cecilia Poderoso Argentina	16	510 1.0×	178 0.9×	41 0.3×	48 0.5×	50 0.7×	27	870
Anne Kasus‐Jacobi United States	18	670 1.3×	197 1.0×	57 0.4×	56 0.5×	56 0.8×	31	1.0k

Countries citing papers authored by Jim C. Fong

Since Specialization

Citations

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

Fields of papers citing papers by Jim C. Fong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim C. Fong. 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 Jim C. Fong. The network helps show where Jim C. Fong may publish in the future.

Co-authorship network of co-authors of Jim C. Fong

This figure shows the co-authorship network connecting the top 25 collaborators of Jim C. Fong. A scholar is included among the top collaborators of Jim C. Fong 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 Jim C. Fong. Jim C. Fong 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

Read, Martin L., Jim C. Fong, Anne Fletcher, et al.. (2017). Elevated PTTG and PBF predicts poor patient outcome and modulates DNA damage response genes in thyroid cancer. Oncogene. 36(37). 5296–5308. 21 indexed citations

Fong, Jim C., et al.. (2012). Depletion of SUMO ligase hMMS21 impairs G1 to S transition in MCF-7 breast cancer cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1820(12). 1893–1900. 14 indexed citations

Fong, Jim C., et al.. (2012). Synergistic induction of interleukin-6 expression by endothelin-1 and cyclic AMP in adipocytes. International Journal of Obesity. 37(2). 197–203. 7 indexed citations

Fong, Jim C., et al.. (2008). Endothelin-1 stimulates interleukin-6 secretion from 3T3-L1 adipocytes. Biochimica et Biophysica Acta (BBA) - General Subjects. 1790(3). 213–218. 16 indexed citations

Fong, Jim C., et al.. (2004). Synergistic effect of endothelin-1 and cyclic AMP on glucose transport in 3T3-L1 adipocytes. Cellular Signalling. 16(7). 811–821. 18 indexed citations

Hong, Show‐Jen, Kwou‐Yeung Wu, Hwei-Zu Wang, & Jim C. Fong. (2003). Effects of Commercial Antiglaucoma Drugs to Glutamate-Induced [Ca ²⁺ ] _i Increase in Cultured Neuroblastoma Cells. Journal of Ocular Pharmacology and Therapeutics. 19(3). 205–215. 7 indexed citations

Hong, Show‐Jen, Kwou‐Yeung Wu, Hwei-Zu Wang, & Jim C. Fong. (2003). Change of Cytosolic Ca ²⁺ Mobility in Cultured Bovine Corneal Endothelial Cells by Endothelin-1. Journal of Ocular Pharmacology and Therapeutics. 19(1). 1–9. 8 indexed citations

Fong, Jim C., et al.. (2003). Mechanism of inhibition of insulin-stimulated glucose transport by 4-bromocrotonic acid in 3T3-L1 adipocytes. Cellular Signalling. 15(3). 269–277. 3 indexed citations

Fong, Jim C., et al.. (2002). Nigericin inhibits insulin‐stimulated glucose transport in 3T3‐L1 adipocytes. Journal of Cellular Biochemistry. 85(1). 83–91. 12 indexed citations

10.

Fong, Jim C., et al.. (2002). Nigericin inhibits insulin-stimulated glucose transport in 3T3-L1 adipocytes. Journal of Cellular Biochemistry. 85(1). 83–83. 1 indexed citations

11.

Fong, Jim C., et al.. (2000). Effects of crude drugs on glucose uptake in 3T3-L1 adipocytes.. PubMed. 16(9). 445–51. 10 indexed citations

12.

Chou, Yu‐Chi & Jim C. Fong. (1999). Cyclosporin A Induces a Biphasic Increase in KCl-Induced Calcium Influx in GH3 Pituitary Cells. Biochemical and Biophysical Research Communications. 254(1). 169–173. 4 indexed citations

13.

Fong, Jim C., et al.. (1997). Differential inhibition of lipolysis by 2-bromopalmitic acid and 4-bromocrotonic acid in 3T3-L1 adipocytes. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1344(1). 65–73. 7 indexed citations

14.

Fong, Jim C., et al.. (1996). Arachidonic acid stimulates the intrinsic activity of ubiquitous glucose transporter (GLUT1) in 3T3-L1 adipocytes by a protein kinase C-independent mechanism. Cellular Signalling. 8(3). 179–183. 26 indexed citations

15.

Fong, Jim C., et al.. (1991). Somatostatin inhibits pepsinogen secretion via a cyclic AMP-independent pathway. Regulatory Peptides. 32(3). 351–360. 2 indexed citations

16.

Fong, Jim C., et al.. (1991). Enhanced lipolysis in 3T3-L1 adipocytes following prolonged exposure to tolbutamide. Biochemical and Biophysical Research Communications. 181(3). 1385–1391. 4 indexed citations

17.

Fong, Jim C.. (1990). The effect of chronic fatty acid treatment on lipolysis in 3T3-L1 adipocytes. Biochemical and Biophysical Research Communications. 171(1). 46–52. 15 indexed citations

18.

Hong, Show‐Jen, Li‐wen Ko, Low‐Tone Ho, & Jim C. Fong. (1988). Somatostatin modulation of neurally mediated pepsinogen secretion from frog esophageal mucosa. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 968(3). 401–407. 4 indexed citations

19.

Hirschowitz, B.I. & Jim C. Fong. (1983). Effects of KCl and insulin on benzimidazole-inhibited canine gastric secretion. American Journal of Physiology-Gastrointestinal and Liver Physiology. 245(6). G739–G744. 3 indexed citations

20.

Schulz, Horst & Jim C. Fong. (1981). [48] 4-Pentenoic acid. Methods in enzymology on CD-ROM/Methods in enzymology. 72. 604–610. 10 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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