Helen R. Kim

543 total citations
9 papers, 420 citations indexed

About

Helen R. Kim is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Helen R. Kim has authored 9 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Oncology. Recurrent topics in Helen R. Kim's work include Estrogen and related hormone effects (6 papers), Retinoids in leukemia and cellular processes (2 papers) and Breast Cancer Treatment Studies (2 papers). Helen R. Kim is often cited by papers focused on Estrogen and related hormone effects (6 papers), Retinoids in leukemia and cellular processes (2 papers) and Breast Cancer Treatment Studies (2 papers). Helen R. Kim collaborates with scholars based in United States, United Kingdom and Germany. Helen R. Kim's co-authors include Joan Lewis-Wambi, V. Craig Jordan, Heather E. Cunliffe, Amanda L. Willis, Eric A. Ariazi, Jennifer R. Pyle, V. Craig Jordan, Catherine G.N. Sharma, Eric A. Ross and Roshani R. Patel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, European Journal of Cancer and Molecular Cancer Therapeutics.

In The Last Decade

Helen R. Kim

9 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen R. Kim United States 9 213 199 162 85 50 9 420
Kathleen Meeke United States 8 266 1.2× 275 1.4× 250 1.5× 92 1.1× 47 0.9× 8 516
Lanfang Qin United States 8 301 1.4× 152 0.8× 235 1.5× 108 1.3× 87 1.7× 14 528
Carol M. Dutkowski United Kingdom 9 329 1.5× 188 0.9× 287 1.8× 86 1.0× 87 1.7× 14 544
P Briand Denmark 9 195 0.9× 229 1.2× 218 1.3× 107 1.3× 35 0.7× 13 477
Richard Y. Lee United States 6 394 1.8× 253 1.3× 188 1.2× 160 1.9× 40 0.8× 6 614
Lianguo Kang United States 6 250 1.2× 328 1.6× 207 1.3× 56 0.7× 29 0.6× 7 521
Aakanksha Khandelwal United States 11 276 1.3× 104 0.5× 81 0.5× 59 0.7× 127 2.5× 14 488
Catherine G.N. Sharma United States 10 350 1.6× 233 1.2× 164 1.0× 98 1.2× 62 1.2× 12 622
Aashvini Belosay United States 10 269 1.3× 143 0.7× 57 0.4× 60 0.7× 114 2.3× 12 446
J Goussard France 10 166 0.8× 246 1.2× 140 0.9× 74 0.9× 18 0.4× 29 399

Countries citing papers authored by Helen R. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Helen R. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen R. Kim

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

All Works

9 of 9 papers shown
1.
2.
Maximov, Philipp Y., Surojeet Sengupta, Joan Lewis-Wambi, et al.. (2011). The conformation of the estrogen receptor directs estrogen-induced apoptosis in breast cancer: a hypothesis. Hormone Molecular Biology and Clinical Investigation. 5(1). 27–34. 17 indexed citations
3.
Jordan, V. Craig, Ifeyinwa E. Obiorah, Ping Fan, et al.. (2011). The St. Gallen Prize Lecture 2011: Evolution of long-term adjuvant anti-hormone therapy: consequences and opportunities. The Breast. 20. S1–S11. 29 indexed citations
4.
Ariazi, Eric A., Heather E. Cunliffe, Joan Lewis-Wambi, et al.. (2011). Estrogen induces apoptosis in estrogen deprivation-resistant breast cancer through stress responses as identified by global gene expression across time. Proceedings of the National Academy of Sciences. 108(47). 18879–18886. 126 indexed citations
5.
Patel, Roshani R., Surojeet Sengupta, Helen R. Kim, et al.. (2010). Experimental treatment of oestrogen receptor (ER) positive breast cancer with tamoxifen and brivanib alaninate, a VEGFR-2/FGFR-1 kinase inhibitor: A potential clinical application of angiogenesis inhibitors. European Journal of Cancer. 46(9). 1537–1553. 40 indexed citations
6.
Lewis-Wambi, Joan, Heather E. Cunliffe, Helen R. Kim, Amanda L. Willis, & V. Craig Jordan. (2008). Overexpression of CEACAM6 promotes migration and invasion of oestrogen-deprived breast cancer cells. European Journal of Cancer. 44(12). 1770–1779. 60 indexed citations
7.
Lewis-Wambi, Joan, Helen R. Kim, Chris Wambi, et al.. (2008). Buthionine sulfoximine sensitizes antihormone-resistant human breast cancer cells to estrogen-induced apoptosis. Breast Cancer Research. 10(6). R104–R104. 51 indexed citations
8.
Ariazi, Eric A., Andrei Leitão, Tudor I. Oprea, et al.. (2007). Exemestane's 17-hydroxylated metabolite exerts biological effects as an androgen. Molecular Cancer Therapeutics. 6(11). 2817–2827. 52 indexed citations
9.
Ariazi, Eric A., Joan Lewis-Wambi, Jennifer R. Pyle, et al.. (2006). Emerging principles for the development of resistance to antihormonal therapy: Implications for the clinical utility of fulvestrant. The Journal of Steroid Biochemistry and Molecular Biology. 102(1-5). 128–138. 16 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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