Albert D. Kim
Impact in
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications
- Immunology top 5%
- Immune cells in cancer
- Aquaculture disease management and microbiota
Papers in
-
- Renal and related cancers 8
- Epigenetics and DNA Methylation 6
- Pluripotent Stem Cells Research 4
- Developmental Biology and Gene Regulation 4
-
- Zebrafish Biomedical Research Applications 9
- Co-authors
- David Traver (9 shared papers)David L. Stachura (6 shared papers)Julien Bertrand (3 shared papers)Andrew P. McMahon (8 shared papers)Nils O. Lindström (5 shared papers)Jinjin Guo (6 shared papers)Andrew Ransick (4 shared papers)Wilson K. Clements (3 shared papers)
- Journals
- Developmental Cell (3 papers)Nature Communications (2 papers)Journal of the American Society of Nephrology (2 papers)Nature (2 papers)Development (2 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Albert D. Kim
18 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 88
- Cell Biology 807
- Immunology 568
- Hematology 253
- Molecular Biology 1.3k
- Nephrology 106
Countries citing papers authored by Albert D. Kim
This map shows the geographic impact of Albert D. Kim'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 Albert D. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert D. Kim more than expected).
Fields of papers citing papers by Albert D. Kim
This network shows the impact of papers produced by Albert D. Kim. 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 Albert D. Kim. The network helps show where Albert D. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert D. Kim, 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 | 2019 | 282 | |
| 2 | 2007 | 267 | |
| 3 | 2014 | 255 | |
| 4 | 2011 | 180 | |
| 5 | 2008 | 180 | |
| 6 | 2018 | 151 | |
| 7 | 2018 | 141 | |
| 8 | 2018 | 136 | |
| 9 | 2014 | 117 | |
| 10 | 2021 | 88 | |
| 11 | 2014 | 76 | |
| 12 | 2019 | 69 | |
| 13 | 2014 | 38 | |
| 14 | 2018 | 32 | |
| 15 | 2014 | 26 | |
| 16 | 2019 | 11 | |
| 17 | 2007 | 1 | |
| 18 | On the Road to Conventionalization: Analyses of Nominal Coercion | 2009 | 1 |
About Albert D. Kim
Albert D. Kim is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Renal and related cancers (8 papers), Epigenetics and DNA Methylation (6 papers), Renal cell carcinoma treatment (6 papers), Pluripotent Stem Cells Research (4 papers), Genetic and Kidney Cyst Diseases (4 papers), Developmental Biology and Gene Regulation (4 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Cell Biology (807 citations), Immunology (568 citations), Hematology (253 citations), Molecular Biology (1.3k citations) and Nephrology (106 citations). Albert D. Kim has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include David Traver, David L. Stachura, Julien Bertrand, Andrew P. McMahon, Nils O. Lindström, Jinjin Guo, Andrew Ransick, Wilson K. Clements, Jill A. McMahon and Matthew E. Thornton. Their work appears in journals such as Developmental Cell, Nature Communications, Journal of the American Society of Nephrology, Nature and Development.
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.