Caroline S. Kim

425 total citations
11 papers, 313 citations indexed

About

Caroline S. Kim is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Hematology. According to data from OpenAlex, Caroline S. Kim has authored 11 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Hematology. Recurrent topics in Caroline S. Kim's work include Thyroid Cancer Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers) and Thyroid Disorders and Treatments (2 papers). Caroline S. Kim is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers) and Thyroid Disorders and Treatments (2 papers). Caroline S. Kim collaborates with scholars based in United States and India. Caroline S. Kim's co-authors include Susan J. Mandel, Yasuhito Kato, Sheue-yann Cheng, Motoyasu Saji, Matthew D. Ringel, Vasily Vasko, Michael J. Kruhlak, Douglas H. Jones, Beverly J. Lange and Eric Rappaport and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Scientific Reports.

In The Last Decade

Caroline S. Kim

11 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline S. Kim United States 8 143 142 53 50 44 11 313
Carine Lefèvre France 8 123 0.9× 174 1.2× 23 0.4× 58 1.2× 92 2.1× 11 339
Massimo Magnanti Italy 8 21 0.1× 84 0.6× 46 0.9× 44 0.9× 21 0.5× 14 243
Latif A. Wafa Canada 9 46 0.3× 215 1.5× 46 0.9× 9 0.2× 61 1.4× 10 364
Lih-Yuh C. Wing Taiwan 8 30 0.2× 85 0.6× 39 0.7× 7 0.1× 59 1.3× 11 459
J J Lebrun France 7 128 0.9× 225 1.6× 139 2.6× 8 0.2× 77 1.8× 7 374
Núria Palau Spain 10 17 0.1× 143 1.0× 40 0.8× 20 0.4× 61 1.4× 13 307
Valerie Stone Hawthorne United States 4 23 0.2× 286 2.0× 152 2.9× 11 0.2× 29 0.7× 4 382
Peter Capell United States 5 385 2.7× 63 0.4× 167 3.2× 5 0.1× 97 2.2× 8 454
Simiao Xu China 9 37 0.3× 231 1.6× 73 1.4× 10 0.2× 23 0.5× 25 337
Takashi Nanba Japan 7 120 0.8× 124 0.9× 39 0.7× 5 0.1× 94 2.1× 7 377

Countries citing papers authored by Caroline S. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Caroline S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline S. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline S. Kim. A scholar is included among the top collaborators of Caroline S. 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 Caroline S. Kim. Caroline S. 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.
Martinez‐Outschoorn, Ubaldo, et al.. (2021). Hypercalcemia of Malignancy Attributed to Cosecretion of PTH and PTHRP in Lung Adenocarcinoma. AACE Clinical Case Reports. 7(3). 200–203. 3 indexed citations
2.
3.
Kim, Caroline S., et al.. (2021). Contemporary Management of Thyroid Nodules. Annual Review of Medicine. 73(1). 517–528. 70 indexed citations
4.
Saji, Motoyasu, Caroline S. Kim, Chaojie Wang, et al.. (2020). Akt isoform-specific effects on thyroid cancer development and progression in a murine thyroid cancer model. Scientific Reports. 10(1). 18316–18316. 7 indexed citations
5.
Kim, Caroline S., et al.. (2009). Myositis Associated with the Decline of Thyroid Hormone Levels in Thyrotoxicosis: A Syndrome?. Thyroid. 19(12). 1413–1417. 15 indexed citations
6.
Kim, Caroline S., Fumihiko Furuya, Hao Ying, et al.. (2006). Gelsolin: A Novel Thyroid Hormone Receptor-β Interacting Protein that Modulates Tumor Progression in a Mouse Model of Follicular Thyroid Cancer. Endocrinology. 148(3). 1306–1312. 23 indexed citations
7.
Kim, Caroline S., Vasily Vasko, Yasuhito Kato, et al.. (2005). AKT Activation Promotes Metastasis in a Mouse Model of Follicular Thyroid Carcinoma. Endocrinology. 146(10). 4456–4463. 90 indexed citations
8.
Kim, Caroline S.. (2003). Zonisamide effective for weight loss in women.. PubMed. 52(8). 600–1. 9 indexed citations
9.
Felix, Carolyn A., Caroline S. Kim, Maureen D. Megonigal, et al.. (1997). Panhandle Polymerase Chain Reaction Amplifies MLL Genomic Translocation Breakpoint Involving Unknown Partner Gene. Blood. 90(12). 4679–4686. 30 indexed citations
10.
Felix, Carolyn A., Caroline S. Kim, Maureen D. Megonigal, et al.. (1997). Panhandle Polymerase Chain Reaction Amplifies MLL Genomic Translocation Breakpoint Involving Unknown Partner Gene. Blood. 90(12). 4679–4686. 4 indexed citations
11.
Megonigal, Maureen D., Eric Rappaport, Douglas H. Jones, et al.. (1997). Panhandle PCR strategy to amplify MLL genomic breakpoints in treatment-related leukemias. Proceedings of the National Academy of Sciences. 94(21). 11583–11588. 54 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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