Sae Kim

1.7k citations
11 papers · 1.3k · h-index 8

Impact in

Papers in

Sae Kim

11 papers receiving 1.3k citations

Peers

Sae Kim
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 527
  • Pulmonary and Respiratory Medicine 716
  • Immunology and Allergy 58
  • Oncology 258
  • Cancer Research 87
Replace Lana S. Grauer with:
Lana S. Grauer United States
I Pellicer United States
Mary Lou Beckett United States
Sandra Borkowski Germany
Sydney Welt United States
Pieter B. A. A. van Driel Netherlands
W. D. W. Heston United States
Guus AMS van Dongen Netherlands
Janneke D.M. Molkenboer‐Kuenen Netherlands
Zohreh Varasteh Sweden
Sae Kim relative to Lana S. Grauer United States Lana S. Grauer's profile →
Citations per field
00.5×2.7×
Lana S. Grauer · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sae Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sae Kim Line = papers co-authored together Sae Kim links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Monoclonal antibodies to the extracellular domain of prostate-specific membrane antigen also react with tumor vascular endothelium.
1997433
2
Constitutive and antibody-induced internalization of prostate-specific membrane antigen.
1998359
3 2011254
4 200985
5 201050
6 201841
7 201640
8 201631
9 20171
10 20171
11 20141

About Sae Kim

Sae Kim is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Spectroscopy, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Radiopharmaceutical Chemistry and Applications (3 papers), RNA Interference and Gene Delivery (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Child Abuse and Trauma (1 paper), Child Welfare and Adoption (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (527 citations), Pulmonary and Respiratory Medicine (716 citations), Immunology and Allergy (58 citations), Oncology (258 citations) and Cancer Research (87 citations). Sae Kim has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Neil H. Bander, Vincent Navarro, P. Moy, Yan Xia, He Liu, Ayyappan K. Rajasekaran, Beatrice Knudsen, Steven M. Larson, Michael J. Evans and Peter Smith‐Jones. Their work appears in journals such as The Prostate, Cancer Research, Journal of Youth and Adolescence, Applied immunohistochemistry & molecular morphology and Proceedings of the National Academy of Sciences.

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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