Charles Kung
Impact in
- Hematology top 1%
- Erythropoietin and Anemia Treatment
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism
Papers in
- Hematology 21
- Erythropoietin and Anemia Treatment 9
- Blood groups and transfusion 9
- Genetics 11
- Hemoglobinopathies and Related Disorders 11
- Blood disorders and treatments 5
- Co-authors
- Eugene GoldwasserTakahito MiyakeKevan M. ShokatBailin ZhangHaidi YangBeat NyfelerLewis C. CantleyChristopher J. Wilson
- Journals
- Blood (15 papers)Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Cellular Biochemistry (2 papers)Cell (2 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Charles Kung
49 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Hematology 948
- Biochemistry 368
- Genetics 390
- Cancer Research 522
- Cell Biology 500
Countries citing papers authored by Charles Kung
This map shows the geographic impact of Charles Kung'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 Charles Kung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Kung more than expected).
Fields of papers citing papers by Charles Kung
This network shows the impact of papers produced by Charles Kung. 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 Charles Kung. The network helps show where Charles Kung may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles Kung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2020 | 54 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 12 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 19 | |
| 9 | 2016 | 43 | |
| 10 | Bidirectional Transport of Amino Acids Regulates mTOR and Autophagy Hit paper breakdown → | 2009 | 1369 |
| 11 | 2007 | 93 | |
| 12 | 2007 | 174 | |
| 13 | 2005 | 42 | |
| 14 | 2005 | 19 | |
| 15 | 2005 | 143 | |
| 16 | 2005 | 229 | |
| 17 | 2000 | 2 | |
| 18 | 1997 | 6 | |
| 19 | 1992 | 10 | |
| 20 | Characterization of erythropoietin receptors | 1987 | 1 |
About Charles Kung
Charles Kung is a scholar working on Hematology, Genetics, Physiology, Cell Biology and Cancer Research, having authored 50 papers that have together received 3.7k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (22 papers), Hemoglobinopathies and Related Disorders (11 papers), Erythropoietin and Anemia Treatment (9 papers), Blood groups and transfusion (9 papers), Blood disorders and treatments (5 papers), Hemoglobin structure and function (5 papers), Neonatal Health and Biochemistry (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Hematology (948 citations), Biochemistry (368 citations), Genetics (390 citations), Cancer Research (522 citations) and Cell Biology (500 citations). Charles Kung has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Eugene Goldwasser, Takahito Miyake, Kevan M. Shokat, Bailin Zhang, Haidi Yang, Beat Nyfeler, Lewis C. Cantley, Christopher J. Wilson, Jeffrey A. Porter and Jeffrey P. MacKeigan. Their work appears in journals such as Blood, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Cellular Biochemistry and Cell.
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.