Ki Don Chang

36 total papers · 732 total citations
24 papers, 491 citations indexed

About

Ki Don Chang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Ki Don Chang has authored 24 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 6 papers in Surgery and 5 papers in Rheumatology. Recurrent topics in Ki Don Chang's work include Renal cell carcinoma treatment (9 papers), Renal and Vascular Pathologies (5 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Ki Don Chang is often cited by papers focused on Renal cell carcinoma treatment (9 papers), Renal and Vascular Pathologies (5 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Ki Don Chang collaborates with scholars based in South Korea, Egypt and Saudi Arabia. Ki Don Chang's co-authors include Koon Ho Rha, Young Deuk Choi, Ali Abdel Raheem, Young Joong Yoon, Byung Ha Chung, Won Sik Ham, Sang Il Kwak, Young-Ho Kim, Yeun Ju Kim and Woong Kyu Han and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Electronics Letters and British Journal of Urology.

In The Last Decade

Ki Don Chang

23 papers receiving 478 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ki Don Chang	252	168	117	99	67	24	491
I.A. Feuerstein	142 0.6×	92 0.5×	50 0.4×	48 0.5×	41 0.6×	37	522
Moshe Melloul	148 0.6×	194 1.2×	65 0.6×	82 0.8×	23 0.3×	24	446
Takeshi Ohdaira	102 0.4×	191 1.1×	126 1.1×	17 0.2×	21 0.3×	34	422
Jeremiah Sanders	201 0.8×	27 0.2×	168 1.4×	76 0.8×	19 0.3×	39	547
Nobutaka Ohta	141 0.6×	51 0.3×	55 0.5×	70 0.7×	50 0.7×	27	495
Jeffrey Stoll	66 0.3×	218 1.3×	284 2.4×	13 0.1×	10 0.1×	16	504
S H Kim	148 0.6×	191 1.1×	26 0.2×	27 0.3×	81 1.2×	20	544
Robert McMillan	98 0.4×	263 1.6×	26 0.2×	12 0.1×	10 0.1×	27	466
Ho	37 0.1×	107 0.6×	14 0.1×	142 1.4×	15 0.2×	23	453
Sheng‐Kai Liang	173 0.7×	48 0.3×	65 0.6×	45 0.5×	147 2.2×	31	513

Countries citing papers authored by Ki Don Chang

Since Specialization

Citations

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

Fields of papers citing papers by Ki Don Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ki Don Chang

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

All Works

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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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