Sae Kim

1.6k total citations
11 papers, 1.3k citations indexed

About

Sae Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Sae Kim has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 3 papers in Molecular Biology. Recurrent topics in Sae Kim's work include Prostate Cancer Treatment and Research (7 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Sae Kim is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Sae Kim collaborates with scholars based in United States, Switzerland and Japan. Sae Kim's co-authors include Neil H. Bander, Vincent Navarro, He Liu, Yan Xia, P. Moy, Beatrice Knudsen, Ayyappan K. Rajasekaran, Michael J. Evans, John Wongvipat and Charles L. Sawyers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Molecular Cancer Therapeutics.

In The Last Decade

Sae Kim

11 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sae Kim United States 8 795 711 395 321 143 11 1.3k
Lana S. Grauer United States 11 846 1.1× 599 0.8× 443 1.1× 327 1.0× 164 1.1× 15 1.5k
I Pellicer Spain 9 1.0k 1.3× 754 1.1× 492 1.2× 518 1.6× 127 0.9× 12 1.7k
Mary Lou Beckett United States 13 840 1.1× 600 0.8× 299 0.8× 220 0.7× 127 0.9× 18 1.2k
W. D. W. Heston United States 8 482 0.6× 366 0.5× 303 0.8× 199 0.6× 104 0.7× 13 866
Sandra Borkowski Germany 14 317 0.4× 783 1.1× 471 1.2× 522 1.6× 43 0.3× 16 1.3k
Eleni Gourni Germany 18 306 0.4× 612 0.9× 187 0.5× 653 2.0× 173 1.2× 42 1.2k
Habibe Karacay United States 30 290 0.4× 1.8k 2.5× 550 1.4× 668 2.1× 80 0.6× 42 2.1k
Maria J.W.D. Vosjan Netherlands 18 458 0.6× 1.6k 2.2× 588 1.5× 701 2.2× 220 1.5× 23 2.1k
Sydney Welt United States 20 226 0.3× 696 1.0× 680 1.7× 327 1.0× 329 2.3× 35 1.3k
Yufa Li China 16 530 0.7× 175 0.2× 289 0.7× 694 2.2× 144 1.0× 42 1.3k

Countries citing papers authored by Sae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sae Kim. A scholar is included among the top collaborators of Sae 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 Sae Kim. Sae Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Leconet, Wilhem, He Liu, Ming‐Lei Guo, et al.. (2018). Anti-PSMA/CD3 Bispecific Antibody Delivery and Antitumor Activity Using a Polymeric Depot Formulation. Molecular Cancer Therapeutics. 17(9). 1927–1940. 41 indexed citations
2.
Ramirez‐Fort, Marigdalia K., He Liu, Barbara Meier, et al.. (2017). Abstract 1905: Possible cancer stem cells: Folate hydrolase-1 is expressed in a subset of Oct4-positive melanoma cells. Cancer Research. 77(13_Supplement). 1905–1905. 1 indexed citations
3.
Batra, Jaspreet S., He Liu, Sae Kim, et al.. (2017). Abstract 5201: PSMA-targeted alpha radioimmunotherapy for prostate cancer with 225Ac-J591. Cancer Research. 77(13_Supplement). 5201–5201. 1 indexed citations
4.
Kim, Sae, et al.. (2016). Prostate-specific Membrane Antigen (PSMA) Expression in the Neovasculature of Gynecologic Malignancies: Implications for PSMA-targeted Therapy. Applied immunohistochemistry & molecular morphology. 25(4). 271–276. 39 indexed citations
5.
Nguyen, Daniel P., He Liu, Samuel Pan, et al.. (2016). Induction of PSMA and Internalization of an Anti-PSMA mAb in the Vascular Compartment. Molecular Cancer Research. 14(11). 1045–1053. 31 indexed citations
7.
Evans, Michael J., Peter Smith‐Jones, John Wongvipat, et al.. (2011). Noninvasive measurement of androgen receptor signaling with a positron-emitting radiopharmaceutical that targets prostate-specific membrane antigen. Proceedings of the National Academy of Sciences. 108(23). 9578–9582. 247 indexed citations
8.
Kuroda, Kenji, et al.. (2010). Saporin toxin‐conjugated monoclonal antibody targeting prostate‐specific membrane antigen has potent anticancer activity. The Prostate. 70(12). 1286–1294. 50 indexed citations
10.
Liu, He, P. Moy, Yan Xia, et al.. (1998). Constitutive and antibody-induced internalization of prostate-specific membrane antigen.. PubMed. 58(18). 4055–60. 359 indexed citations
11.
Liu, He, P. Moy, Sae Kim, et al.. (1997). Monoclonal antibodies to the extracellular domain of prostate-specific membrane antigen also react with tumor vascular endothelium.. PubMed. 57(17). 3629–34. 433 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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