Hangil Chang

894 total citations
18 papers, 630 citations indexed

About

Hangil Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hangil Chang has authored 18 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hangil Chang's work include Ion Transport and Channel Regulation (6 papers), Ion channel regulation and function (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Hangil Chang is often cited by papers focused on Ion Transport and Channel Regulation (6 papers), Ion channel regulation and function (5 papers) and Neuroscience and Neuropharmacology Research (3 papers). Hangil Chang collaborates with scholars based in Japan, South Korea and United Kingdom. Hangil Chang's co-authors include Toshiro Fujita, Seiji Fukumoto, Noriko Chikatsu, Sumiyo Watanabe, Yasuhiro Takeuchi, Ryo Okazaki, Yukihiro Hasegawa, Kiyoshi Kurokawa, Takatoshi Okuda and Tae‐Hoon Kim and has published in prestigious journals such as The Lancet, Biochemical and Biophysical Research Communications and Kidney International.

In The Last Decade

Hangil Chang

18 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hangil Chang Japan 12 342 185 112 101 96 18 630
Lisa Mastrofrancesco Italy 12 306 0.9× 107 0.6× 52 0.5× 132 1.3× 52 0.5× 15 408
Hiroko Yasuda Japan 14 134 0.4× 34 0.2× 27 0.2× 28 0.3× 92 1.0× 43 526
Yuzhou Xiao China 12 195 0.6× 34 0.2× 21 0.2× 32 0.3× 94 1.0× 29 569
Loreto Carrasco Chile 8 186 0.5× 10 0.1× 75 0.7× 25 0.2× 46 0.5× 8 443
An Xie China 14 245 0.7× 28 0.2× 85 0.8× 22 0.2× 93 1.0× 45 587
Alia Shatanawi Jordan 10 144 0.4× 15 0.1× 18 0.2× 41 0.4× 228 2.4× 18 535
Nieves Gómez‐Hurtado United States 14 559 1.6× 37 0.2× 25 0.2× 12 0.1× 42 0.4× 21 814
L.M.D. Delbridge Australia 12 294 0.9× 10 0.1× 29 0.3× 29 0.3× 68 0.7× 20 540
Dmytro O. Kryshtal United States 16 781 2.3× 13 0.1× 149 1.3× 25 0.2× 69 0.7× 27 1.3k
Shohei Kinoshita Japan 11 274 0.8× 15 0.1× 21 0.2× 62 0.6× 51 0.5× 19 388

Countries citing papers authored by Hangil Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hangil Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hangil Chang

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

All Works

18 of 18 papers shown
1.
Lee, William, Hyun Joon Kim, Tae‐Hoon Kim, & Hangil Chang. (2007). Nafion based organic/inorganic composite membrane for air-breathing direct methanol fuel cells. Journal of Membrane Science. 292(1-2). 29–34. 61 indexed citations
2.
Zhou, Ying, Shuei‐Liong Lin, Hangil Chang, et al.. (2005). Gender differences of renal CYP-derived eicosanoid synthesis in rats fed a high-fat diet. American Journal of Hypertension. 18(4). 530–537. 35 indexed citations
3.
Watanabe, Sumiyo, Seiji Fukumoto, Hangil Chang, et al.. (2002). Association between activating mutations of calcium-sensing receptor and Bartter's syndrome. The Lancet. 360(9334). 692–694. 272 indexed citations
4.
Chang, Hangil & Toshiro Fujita. (2001). A numerical model of acid-base transport in rat distal tubule. American Journal of Physiology-Renal Physiology. 281(2). F222–F243. 16 indexed citations
5.
Chang, Hangil & Toshiro Fujita. (2001). PicSNP: A Browsable Catalog of Nonsynonymous Single Nucleotide Polymorphisms in the Human Genome. Biochemical and Biophysical Research Communications. 287(1). 288–291. 20 indexed citations
6.
Chang, Hangil & Toshiro Fujita. (1999). A kinetic model of the thiazide-sensitive Na-Cl cotransporter. American Journal of Physiology-Renal Physiology. 276(6). F952–F959. 17 indexed citations
7.
Chang, Hangil & Toshiro Fujita. (1999). A numerical model of the renal distal tubule. American Journal of Physiology-Renal Physiology. 276(6). F931–F951. 25 indexed citations
8.
Chang, Hangil, Kosuke Tashiro, Momoki Hirai, et al.. (1996). Identification of a cDNA Encoding a Thiazide-Sensitive Sodium-Chloride Cotransporter from the Human and Its mRNA Expression in Various Tissues. Biochemical and Biophysical Research Communications. 223(2). 324–328. 23 indexed citations
9.
Chang, Hangil & Toshiro Fujita. (1996). Lack of mutations in epithelial sodium channel ??-subunit gene in human subjects with hypertension. Journal of Hypertension. 14(12). 1417–1419. 23 indexed citations
10.
Chang, Hangil & Yoshiaki Kidokoro. (1996). Kinetic Properties of Glutamate Receptor Channels in Cultured Embryonic Drosophila Myotubes.. The Japanese Journal of Physiology. 46(3). 249–264. 10 indexed citations
11.
Chang, Hangil, Toshihiro Okuda, Yuji Nomura, et al.. (1996). Serum hepatocyte growth factor concentration in patients with various degrees of chronic renal failure. Nephrology. 2(3). 175–179. 1 indexed citations
12.
Chang, Hangil, Tetsuo Katoh, Masakuni Noda, et al.. (1995). Highly efficient adenovirus-mediated gene transfer into renal cells in culture. Kidney International. 47(1). 322–326. 10 indexed citations
13.
Chang, Hangil, et al.. (1995). Kinetics of substrate oxidation by whole cells and cell membranes of. FEMS Microbiology Letters. 129(1). 33–38. 25 indexed citations
14.
Chang, Hangil & Kiyoshi Kurokawa. (1995). Reliability of maximum number of simultaneously open channels as an estimator for the number of channels in single-channel recordings. Journal of Theoretical Biology. 173(1). 61–65. 3 indexed citations
15.
Matsunaga, H, Y. Miyajima, Takatoshi Okuda, et al.. (1991). Ion channel activities of cultured rat mesangial cells. American Journal of Physiology-Renal Physiology. 261(5). F808–F814. 23 indexed citations
16.
Katoh, Tetsuo, Hangil Chang, Shunya Uchida, Takatoshi Okuda, & Kiyoshi Kurokawa. (1990). Direct effects of endothelin in the rat kidney. American Journal of Physiology-Renal Physiology. 258(2). F397–F402. 62 indexed citations
17.
Chang, Hangil, Naohide Yamashita, Hiroshi Matsunaga, & Kiyoshi Kurokawa. (1988). Ca2+-activated K+ conductance causes membrane hyperpolarizations in a monkey kidney cell line (JTC-12). The Journal of Membrane Biology. 103(3). 263–271. 3 indexed citations
18.
Chang, Hangil, Naohide Yamashita, Etsuro Ogata, & Kiyoshi Kurokawa. (1985). Hyperpolarizing membrane potential changes in a cloned monkey kidney cell line. Pflügers Archiv - European Journal of Physiology. 405(3). 223–225. 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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