In‐Wha Kim
- Molecular Biology top 5%
- Oncology top 2%
- Pediatrics, Perinatology and Child Health top 1%
- Genetics top 5%
- Infectious Diseases top 5%
- Co-authors
- Suresh V. AmbudkarZuben E. SaunaAnna Maria CalcagnoChava Kimchi‐SarfatyMichael M. GottesmanJung Mi OhAh‐Ng Tony KongWoo‐Sik Jeong
- Topics
- Drug Transport and Resistance Mechanisms (19 papers)Renal Transplantation Outcomes and Treatments (14 papers)Pharmacological Effects and Toxicity Studies (13 papers)
- Cited by
- TransplantationOncologyPharmacology
- Journals
- SciencePLoS ONEBiochemistry
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
In‐Wha Kim
89 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 1.9k
- Oncology 1.6k
- Pediatrics, Perinatology and Child Health 683
- Genetics 452
- Infectious Diseases 442
Countries citing papers authored by In‐Wha Kim
This map shows the geographic impact of In‐Wha 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 In‐Wha Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Wha Kim more than expected).
Fields of papers citing papers by In‐Wha Kim
This network shows the impact of papers produced by In‐Wha 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 In‐Wha Kim. The network helps show where In‐Wha Kim may publish in the future.
Co-authorship network of co-authors of In‐Wha Kim
This figure shows the co-authorship network connecting the top 25 collaborators of In‐Wha Kim. A scholar is included among the top collaborators of In‐Wha 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 In‐Wha Kim. In‐Wha 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 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | Clinical Outcomes of Multidisciplinary Team Care on the Regulation of Chronic Kidney Disease - Mineral and Bone Disorder (CKD-MBD) in Patients Undergoing Dialysis | 1 |
| 15 | 152 | |
| 16 | 47 | |
| 17 | A "Silent" Polymorphism in the MDR 1 Gene Changes Substrate Specificitybreakdown → | 1912 |
| 18 | 78 | |
| 19 | The Actual Wearing Condition and Wearing Satisfaction of High School Boys' Summer Uniforms | 1 |
| 20 | 11 |
About In‐Wha Kim
In‐Wha Kim is a scholar working on Transplantation, Toxicology and Pediatrics, Perinatology and Child Health, having authored 90 papers that have together received 4.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (19 papers), Renal Transplantation Outcomes and Treatments (14 papers) and Pharmacological Effects and Toxicity Studies (13 papers). The work is most often cited by research in Transplantation (326 citations), Oncology (1.6k citations) and Pharmacology (354 citations). In‐Wha Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Suresh V. Ambudkar, Zuben E. Sauna, Anna Maria Calcagno, Chava Kimchi‐Sarfaty, Michael M. Gottesman, Jung Mi Oh, Jung Mi Oh, Ah‐Ng Tony Kong, Woo‐Sik Jeong and Nayoung Han. Their work appears in journals such as Science, PLoS ONE and Biochemistry.
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.