In‐Wha Kim

5.7k total citations · 1 hit paper
90 papers, 4.4k citations indexed

About

In‐Wha Kim is a scholar working on Oncology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, In‐Wha Kim has authored 90 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 23 papers in Molecular Biology and 18 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in In‐Wha Kim's work include Drug Transport and Resistance Mechanisms (19 papers), Renal Transplantation Outcomes and Treatments (14 papers) and Pharmacological Effects and Toxicity Studies (13 papers). In‐Wha Kim is often cited by papers focused on Drug Transport and Resistance Mechanisms (19 papers), Renal Transplantation Outcomes and Treatments (14 papers) and Pharmacological Effects and Toxicity Studies (13 papers). In‐Wha Kim collaborates with scholars based in South Korea, United States and Puerto Rico. In‐Wha Kim's 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 and has published in prestigious journals such as Science, PLoS ONE and Biochemistry.

In The Last Decade

In‐Wha Kim

89 papers receiving 4.3k citations

Hit Papers

A "Silent" Polymorphism in the MDR 1 Gene Changes Substra... 2006 2026 2012 2019 2006 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A "Silent" Polymorphism in the MDR 1 Gene Changes Substrate Specificity
    2006 1.9k citations Chava Kimchi‐Sarfaty, Jung Mi Oh et al. Science profile →

Peers

In‐Wha Kim
Toshiyuki Sakaeda Japan
Noboru Okamura Japan
D. Kim Turgeon United States
Tohru Komano Japan
Johanna Weiß Germany
Volker M. Lauschke Sweden
Guilherme Suarez‐Kurtz Brazil
Lalitha Iyer United States
Ursula A. Germann United States
Edward T. Morgan United States
Toshiyuki Sakaeda Japan
In‐Wha Kim
Citations per year, relative to In‐Wha Kim In‐Wha Kim (= 1×) peers Toshiyuki Sakaeda

Countries citing papers authored by In‐Wha Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kay, Hee Yeon, Ha Young Jang, In‐Wha Kim, & Jung Mi Oh. (2025). Pregnancy and neonatal outcomes after fetal exposure to statins among women with dyslipidemia: a nationwide cohort. European Journal of Pediatrics. 184(6). 340–340.
2.
Song, Yuri, Joong‐Hyun Chun, Ha Young Jang, et al.. (2024). Development of a machine learning model for precision prognosis of rapid kidney function decline in people with diabetes and chronic kidney disease. Diabetes Research and Clinical Practice. 217. 111897–111897. 2 indexed citations
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Lee, Hyun Kyung, Daeun Lee, Hajeong Lee, et al.. (2023). Discovery of Biomarkers Related to Interstitial Fibrosis and Tubular Atrophy among Kidney Transplant Recipients by mRNA-Sequencing. Journal of Personalized Medicine. 13(8). 1242–1242. 2 indexed citations
7.
Song, Yun‐Kyoung, et al.. (2022). The risk of newly diagnosed cancer in patients with rheumatoid arthritis by TNF inhibitor use: a nationwide cohort study. Arthritis Research & Therapy. 24(1). 191–191. 11 indexed citations
8.
Jang, Ha Young, In‐Wha Kim, & Jung Mi Oh. (2022). Cysteinyl Leukotriene Receptor Antagonists Associated With a Decreased Incidence of Cancer: A Retrospective Cohort Study. Frontiers in Oncology. 12. 858855–858855. 7 indexed citations
9.
Kim, Jae Hyun, et al.. (2019). Comparative effectiveness of statins in secondary prevention among the older people aged 75 years and over. International Journal of Clinical Pharmacy. 41(2). 460–469. 4 indexed citations
10.
Kim, Myeong Gyu, Nayoung Han, Jae Hyun Kim, et al.. (2019). Analysis of Issues and Future Trends Impacting Drug Safety in South Korea. International Journal of Environmental Research and Public Health. 16(18). 3368–3368. 2 indexed citations
11.
Kim, Yong‐Hwan, Young Sook Lee, Myeong Gyu Kim, et al.. (2018). The effect of selective serotonin reuptake inhibitors on major adverse cardiovascular events. International Clinical Psychopharmacology. 34(1). 9–17. 12 indexed citations
12.
Park, Hyun Jin, et al.. (2018). Effects of Tumor Necrosis Factor-alpha Inhibitors on the Incidence of Tuberculosis. Korean Journal of Clinical Pharmacy. 28(4). 333–341. 3 indexed citations
13.
Han, Nayoung, Su Hyun Hong, Yon Su Kim, et al.. (2017). Effect of additive calcium administration on FGF23 levels in patients with mild chronic kidney disease treated with calcitriol: a randomized, open-labeled clinical trial. Therapeutics and Clinical Risk Management. Volume 13. 999–1007. 7 indexed citations
14.
Han, Nayoung, Sang‐Min Lee, Eunhee Ji, et al.. (2016). Clinical Outcomes of Multidisciplinary Team Care on the Regulation of Chronic Kidney Disease - Mineral and Bone Disorder (CKD-MBD) in Patients Undergoing Dialysis. Korean Journal of Clinical Pharmacy. 26(4). 318–323. 1 indexed citations
15.
Shi, Zhi, Amit K. Tiwari, Suneet Shukla, et al.. (2011). Sildenafil Reverses ABCB1- and ABCG2-Mediated Chemotherapeutic Drug Resistance. Cancer Research. 71(8). 3029–3041. 152 indexed citations
16.
Shi, Zhi, Sandeep Jain, In‐Wha Kim, et al.. (2007). Sipholenol A, a marine‐derived sipholane triterpene, potently reverses P‐glycoprotein (ABCB1)‐mediated multidrug resistance in cancer cells. Cancer Science. 98(9). 1373–1380. 47 indexed citations
17.
Kimchi‐Sarfaty, Chava, Jung Mi Oh, In‐Wha Kim, et al.. (2006). A "Silent" Polymorphism in the MDR 1 Gene Changes Substrate Specificity. Science. 315(5811). 525–528. 1912 indexed citations breakdown →
18.
Jeong, Woo‐Sik, In‐Wha Kim, Rong Hu, & Ah‐Ng Tony Kong. (2004). Modulation of AP-1 by Natural Chemopreventive Compounds in Human Colon HT-29 Cancer Cell Line. Pharmaceutical Research. 21(4). 649–660. 78 indexed citations
19.
Kim, In‐Wha, et al.. (2003). The Actual Wearing Condition and Wearing Satisfaction of High School Boys' Summer Uniforms. Journal of the Korean Home Economics Association. 41(10). 45–55. 1 indexed citations
20.
Kim, In‐Wha, et al.. (2003). Effect of excipients on the stability and transport of recombinant human epidermal growth factor (rhEGF) across CACO-2 cell monolayers. Archives of Pharmacal Research. 26(4). 330–337. 11 indexed citations

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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