Jer-Ming Chang

1.5k total citations · 1 hit paper
7 papers, 899 citations indexed

About

Jer-Ming Chang is a scholar working on Nephrology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Jer-Ming Chang has authored 7 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nephrology, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Jer-Ming Chang's work include 14-3-3 protein interactions (1 paper), Ion Channels and Receptors (1 paper) and Signaling Pathways in Disease (1 paper). Jer-Ming Chang is often cited by papers focused on 14-3-3 protein interactions (1 paper), Ion Channels and Receptors (1 paper) and Signaling Pathways in Disease (1 paper). Jer-Ming Chang collaborates with scholars based in Taiwan and United States. Jer-Ming Chang's co-authors include Stefan Franz, Mary Donnelly, Yoon Hee Chang, Jochen Reiser, Christian Faul, Peter Mündel, Kirk N. Campbell, Kwanghee Kim, Sandra Merscher and Hoon Young Choi and has published in prestigious journals such as Nature Medicine, PLoS ONE and Scientific Reports.

In The Last Decade

Jer-Ming Chang

7 papers receiving 885 citations

Hit 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.

The actin cytoskeleton of kidney podocytes is a direct target of the antiproteinuric effect of cyclosporine A

2008 723 citations Christian Faul, Mary Donnelly et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jer-Ming Chang Taiwan	6	697	224	141	124	123	7	899
Stefan Franz Switzerland	6	617 0.9×	249 1.1×	134 1.0×	131 1.1×	80 0.7×	7	881
Roberta Camilla Italy	13	606 0.9×	164 0.7×	193 1.4×	186 1.5×	131 1.1×	24	766
Kenichiro Miura Japan	19	700 1.0×	529 2.4×	240 1.7×	141 1.1×	145 1.2×	81	1.3k
Dita Maixnerová Czechia	17	464 0.7×	97 0.4×	142 1.0×	117 0.9×	99 0.8×	38	656
Joshua A. Schwimmer United States	12	576 0.8×	237 1.1×	124 0.9×	129 1.0×	71 0.6×	19	861
Sekiko Taneda Japan	14	346 0.5×	196 0.9×	77 0.5×	76 0.6×	101 0.8×	52	692
Yuko Shima Japan	19	598 0.9×	428 1.9×	312 2.2×	113 0.9×	211 1.7×	61	1.2k
Romana Ryšavá Czechia	18	418 0.6×	315 1.4×	102 0.7×	117 0.9×	233 1.9×	73	972
Helen Lovell United States	7	703 1.0×	185 0.8×	144 1.0×	132 1.1×	141 1.1×	8	833
Rivka Ayalon United States	13	418 0.6×	160 0.7×	149 1.1×	131 1.1×	200 1.6×	17	641

Countries citing papers authored by Jer-Ming Chang

Since Specialization

Citations

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

Fields of papers citing papers by Jer-Ming Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jer-Ming Chang. 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 Jer-Ming Chang. The network helps show where Jer-Ming Chang may publish in the future.

Co-authorship network of co-authors of Jer-Ming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jer-Ming Chang. A scholar is included among the top collaborators of Jer-Ming Chang 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 Jer-Ming Chang. Jer-Ming Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Wu, Ping‐Hsun, Yi‐Chun Tsai, Yi‐Wen Chiu, et al.. (2024). Sex differences in the association of long-term exposure to heat stress on kidney function in a large Taiwanese population study. Scientific Reports. 14(1). 14599–14599. 1 indexed citations

2.

Lim, Lee‐Moay, Xuan Zhao, Mei‐Chyn Chao, et al.. (2015). Novel Vitamin D Receptor Mutations in Hereditary Vitamin D Resistant Rickets in Chinese. PLoS ONE. 10(9). e0138152–e0138152. 5 indexed citations

3.

Hwang, Daw‐Yang, Shu‐Chen Chien, Yu-Wen Hsu, et al.. (2014). Genetic Polymorphisms ofORAI1and Chronic Kidney Disease in Taiwanese Population. BioMed Research International. 2014. 1–6. 7 indexed citations

4.

Wang, Hsiao-Han, Daw‐Yang Hwang, Mei-Chuan Kuo, et al.. (2013). Hypokalemia, Its Contributing Factors and Renal Outcomes in Patients with Chronic Kidney Disease. PLoS ONE. 8(7). e67140–e67140. 44 indexed citations

5.

Chen, Sharon, et al.. (2012). Association of Uric Acid and Left Ventricular Mass Index With Renal Outcomes in Chronic Kidney Disease. American Journal of Hypertension. 26(2). 243–249. 12 indexed citations

6.

Yu, Yang, Chiu‐Ping Fang, Ching-Yuang Lin, et al.. (2012). Effectiveness of multidisciplinary care for chronic kidney disease in Taiwan: a 3-year prospective cohort study. Nephrology Dialysis Transplantation. 28(3). 671–682. 107 indexed citations

7.

Faul, Christian, Mary Donnelly, Sandra Merscher, et al.. (2008). The actin cytoskeleton of kidney podocytes is a direct target of the antiproteinuric effect of cyclosporine A. Nature Medicine. 14(9). 931–938. 723 indexed citations breakdown →

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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