Ki-Wook Kim
- Immunology top 0.2%
- Neurology top 0.2%
- Molecular Biology top 5%
- Oncology top 2%
- Physiology top 5%
- Co-authors
- Steffen JungSimon YonaYochai WolfAlexander MildnerDiana VarolSergey ViukovDavid HumeElazar Zelzer
- Topics
- Immune cells in cancer (19 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)Chemokine receptors and signaling (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Ki-Wook Kim
49 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Immunology 4.4k
- Neurology 1.8k
- Molecular Biology 1.6k
- Oncology 1.1k
- Physiology 681
Countries citing papers authored by Ki-Wook Kim
This map shows the geographic impact of Ki-Wook 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 Ki-Wook Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki-Wook Kim more than expected).
Fields of papers citing papers by Ki-Wook Kim
This network shows the impact of papers produced by Ki-Wook 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 Ki-Wook Kim. The network helps show where Ki-Wook Kim may publish in the future.
Co-authorship network of co-authors of Ki-Wook Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Ki-Wook Kim. A scholar is included among the top collaborators of Ki-Wook Kim 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-Wook Kim. Ki-Wook Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 47 | |
| 5 | 31 | |
| 6 | 138 | |
| 7 | 216 | |
| 8 | 55 | |
| 9 | 106 | |
| 10 | 35 | |
| 11 | 34 | |
| 12 | Tissue-Resident Macrophages in Pancreatic Ductal Adenocarcinoma Originate from Embryonic Hematopoiesis and Promote Tumor Progressionbreakdown → | 585 |
| 13 | 418 | |
| 14 | 0 | |
| 15 | 247 | |
| 16 | Recruitment of Beneficial M2 Macrophages to Injured Spinal Cord Is Orchestrated by Remote Brain Choroid Plexusbreakdown → | 505 |
| 17 | 345 | |
| 18 | 88 | |
| 19 | Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasisbreakdown → | 2282 |
| 20 | 362 |
About Ki-Wook Kim
Ki-Wook Kim is a scholar working on Immunology, Neurology and Oncology, having authored 50 papers that have together received 7.3k indexed citations. Recurring topics across this work include Immune cells in cancer (19 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Chemokine receptors and signaling (8 papers). The work is most often cited by research in Neurology (1.8k citations), Immunology (4.4k citations) and Biological Psychiatry (206 citations). Ki-Wook Kim has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Steffen Jung, Simon Yona, Yochai Wolf, Alexander Mildner, Diana Varol, Sergey Viukov, David Hume, Elazar Zelzer, Martin Guilliams and Michal Breker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.