Steven C. Kim

1.2k total citations
29 papers, 824 citations indexed

About

Steven C. Kim is a scholar working on Surgery, Transplantation and Molecular Biology. According to data from OpenAlex, Steven C. Kim has authored 29 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 9 papers in Transplantation and 5 papers in Molecular Biology. Recurrent topics in Steven C. Kim's work include Renal Transplantation Outcomes and Treatments (6 papers), Organ Transplantation Techniques and Outcomes (6 papers) and Liver Disease and Transplantation (4 papers). Steven C. Kim is often cited by papers focused on Renal Transplantation Outcomes and Treatments (6 papers), Organ Transplantation Techniques and Outcomes (6 papers) and Liver Disease and Transplantation (4 papers). Steven C. Kim collaborates with scholars based in United States, Canada and Netherlands. Steven C. Kim's co-authors include Larry Feldberg, Robert Mallon, Andrew Adams, Keith A. Delman, Joseph M. Ladowski, A. Joseph Tector, Jahnavi K. Srinivasan, Irwin Hollander, Jeremy G. Fisher and Cynthia Breeden and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Analytical Biochemistry.

In The Last Decade

Steven C. Kim

28 papers receiving 798 citations

Peers

Steven C. Kim
S. M. Swift United Kingdom
Joseph Chiesa United Kingdom
Chensi Ouyang United States
Gerd Nagel Germany
Suresh Guruswamy United States
Joung Soon Jang South Korea
Keiji Tanigaki United States
Darren Bentley Switzerland
S. M. Swift United Kingdom
Steven C. Kim
Citations per year, relative to Steven C. Kim Steven C. Kim (= 1×) peers S. M. Swift

Countries citing papers authored by Steven C. Kim

Since Specialization
Citations

This map shows the geographic impact of Steven C. 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 Steven C. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven C. Kim more than expected).

Fields of papers citing papers by Steven C. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven C. 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 Steven C. Kim. The network helps show where Steven C. Kim may publish in the future.

Co-authorship network of co-authors of Steven C. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Steven C. Kim. A scholar is included among the top collaborators of Steven C. 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 Steven C. Kim. Steven C. 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.
Adams, Andrew, Brendan P. Lovasik, Steven C. Kim, et al.. (2024). Iscalimab Combined With Transient Tesidolumab Prolongs Survival in Pig‐to‐Rhesus Monkey Renal Xenografts. Xenotransplantation. 31(4). e12880–e12880. 4 indexed citations
2.
Little, Christopher J., Steven C. Kim, John H. Fechner, et al.. (2024). Early allogeneic immune modulation after establishment of donor hematopoietic cell-induced mixed chimerism in a nonhuman primate kidney transplant model. Frontiers in Immunology. 15. 1343616–1343616. 3 indexed citations
3.
Cimeno, Arielle, Colin D. Whitmore, Chase J. Wehrle, et al.. (2024). Takotsubo cardiomyopathy following liver transplantation: A multicenter cohort study. Liver Transplantation. 31(5). 623–629. 1 indexed citations
4.
Biesterveld, Ben E., et al.. (2023). Nodular regenerative hyperplasia and liver transplantation: a systematic review. SHILAP Revista de lepidopterología. 2. 1221765–1221765. 2 indexed citations
5.
Kim, Steven C. & David P. Foley. (2023). Strategies to Improve the Utilization and Function of DCD Livers. Transplantation. 108(3). 625–633. 8 indexed citations
6.
Kim, Steven C., et al.. (2022). Quantitative assessment of portal jump graft inflow following liver transplantation using 4D flow MRI. American Journal of Transplantation. 22(12). 3175–3177.
8.
Silva, Juliete A.F., et al.. (2022). Progress in kidney transplantation: The role for systems immunology. Frontiers in Medicine. 9. 1070385–1070385. 4 indexed citations
9.
Lovasik, Brendan P., Steven C. Kim, Vivian Wang, et al.. (2020). A longitudinal cadaver-based simulation curriculum creates sustainable increases in resident confidence and exposure to fundamental techniques: Results of a 5-year program evaluation. The American Journal of Surgery. 222(1). 104–110. 13 indexed citations
10.
Lovasik, Brendan P., et al.. (2020). “The Living Monument”: The Desegregation of Grady Memorial Hospital and the Changing South. The American Surgeon. 86(3). 213–219. 3 indexed citations
11.
Kim, Steven C. & David P. Foley. (2020). Donor-specific antibodies in liver transplantation: challenges in diagnosis and determining clinical impact. Current Opinion in Organ Transplantation. 25(6). 549–554. 5 indexed citations
12.
Jajja, Mohammad Raheel, Brendan P. Lovasik, Steven C. Kim, et al.. (2019). Can a Structured, Video-Based Cadaver Curriculum Demonstrating Proficiency Enhance Resident Operative Autonomy?. Journal of surgical education. 76(6). e152–e160. 9 indexed citations
13.
Kim, Steven C., David V. Mathews, Cynthia Breeden, et al.. (2019). Long-term survival of pig-to-rhesus macaque renal xenografts is dependent on CD4 T cell depletion. American Journal of Transplantation. 19(8). 2174–2185. 152 indexed citations
14.
Mathews, David V., Ying Dong, Laura Higginbotham, et al.. (2018). CD122 signaling in CD8+ memory T cells drives costimulation-independent rejection. Journal of Clinical Investigation. 128(10). 4557–4572. 41 indexed citations
15.
Kim, Steven C., et al.. (2016). Cadaver-Based Simulation Increases Resident Confidence, Initial Exposure to Fundamental Techniques, and May Augment Operative Autonomy. Journal of surgical education. 73(6). e33–e41. 84 indexed citations
16.
Fisher, Sarah B., Steven C. Kim, David A. Kooby, et al.. (2013). Gastrointestinal Stromal Tumors: A Single Institution Experience of 176 Surgical Patients. The American Surgeon. 79(7). 657–665. 9 indexed citations
17.
Yang, Xiaoke, Larry Feldberg, Steven C. Kim, et al.. (2006). A Directly Labeled TR-FRET Assay for Monitoring Phosphoinositide-3-Kinase Activity. Combinatorial Chemistry & High Throughput Screening. 9(7). 565–570. 10 indexed citations
18.
Berger, Dan, Minu Dutia, Dennis Powell, et al.. (2003). Synthesis and evaluation of 4-Anilino-6,7-dialkoxy-3-quinolinecarbonitriles as inhibitors of kinases of the Ras-MAPK signaling cascade. Bioorganic & Medicinal Chemistry Letters. 13(18). 3031–3034. 25 indexed citations
19.
Zhang, Nan, Biqi Wu, Fei Ye, et al.. (2001). MEK (MAPKK) inhibitors. Part 2: structure–activity relationships of 4-anilino-3-cyano-6,7-dialkoxyquinolines. Bioorganic & Medicinal Chemistry Letters. 11(11). 1407–1410. 24 indexed citations
20.
Mallon, Robert, Larry Feldberg, Steven C. Kim, et al.. (2001). An Enzyme-Linked Immunosorbent Assay for the Raf/MEK1/MAPK Signaling Cascade. Analytical Biochemistry. 294(1). 48–54. 23 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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