Ming-Chung Kan

567 citations
12 papers · 435 · h-index 7

Impact in

    • Cancer, Hypoxia, and Metabolism
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Metabolism, Diabetes, and Cancer
    • RNA regulation and disease

Papers in

    • RNA Research and Splicing 4
    • RNA regulation and disease 2
    • Biochemical and Molecular Research 1
    • Bacteriophages and microbial interactions 3

Ming-Chung Kan

12 papers receiving 428 citations

Peers

Ming-Chung Kan
Comparison fields: 5 of 61
  • Cancer Research 77
  • Molecular Biology 347
  • Cellular and Molecular Neuroscience 51
  • Developmental Neuroscience 9
  • Neurology 31
Replace Malcolm H. Goyns with:
Malcolm H. Goyns United Kingdom
Amrita Mandal United States
Aliana Egeo Italy
Judith A. Hobert United States
Davor Lessel Germany
Sonia M. Dubois France
Courtney K. Domigan United States
Roberta Tammaro Italy
Yoon Sing Yap United States
Harutyun Melkonyan Germany
Ming-Chung Kan relative to Malcolm H. Goyns United Kingdom Malcolm H. Goyns's profile →
Citations per field
00.5×8.5×
Malcolm H. Goyns · 1×
Citations per year

Countries citing papers authored by Ming-Chung Kan

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Chung Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming-Chung Kan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming-Chung Kan Line = papers co-authored together Ming-Chung Kan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006185
2 1992109
3 201039
4 199529
5 200522
6 199722
7 199416
8 20236
9
[A clinicopathological study on tumor of the renal pelvis and ureter].
19893
10
[Cerebral salt wasting syndrome secondary to head injury: a case report].
19922
11 20251
12 20161

About Ming-Chung Kan

Ming-Chung Kan is a scholar working on Molecular Biology, Ecology, Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 435 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Bacteriophages and microbial interactions (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA regulation and disease (2 papers), Metabolism and Genetic Disorders (1 paper), Urologic and reproductive health conditions (1 paper), Moyamoya disease diagnosis and treatment (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Cancer Research (77 citations), Molecular Biology (347 citations), Cellular and Molecular Neuroscience (51 citations), Developmental Neuroscience (9 citations) and Neurology (31 citations). Ming-Chung Kan has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Joel D. Richter, Yi‐Shuian Huang, Chien‐Ling Lin, Fumihiko Kanai, Kazuo Ishii, Takeshi Nishiyama, T. Murakami, T. Shirotani, Yasuhiko Ebina and Yasuo Shinohara. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, The EMBO Journal, Vaccine and Vaccines.

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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