Eunsil Hahm

1.9k total citations
31 papers, 1.1k citations indexed

About

Eunsil Hahm is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Eunsil Hahm has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Immunology and 7 papers in Hematology. Recurrent topics in Eunsil Hahm's work include Platelet Disorders and Treatments (5 papers), Vitamin C and Antioxidants Research (5 papers) and Renal Diseases and Glomerulopathies (4 papers). Eunsil Hahm is often cited by papers focused on Platelet Disorders and Treatments (5 papers), Vitamin C and Antioxidants Research (5 papers) and Renal Diseases and Glomerulopathies (4 papers). Eunsil Hahm collaborates with scholars based in United States, South Korea and Ethiopia. Eunsil Hahm's co-authors include Jaehyung Cho, Kyungho Kim, Wang Jae Lee, Jing Li, Daeho Cho, Jae Seung Kang, Young‐In Kim, Hee‐Sook Jun, Lisa‐Marie Holbrook and Masuko Ushio‐Fukai and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Blood.

In The Last Decade

Eunsil Hahm

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunsil Hahm United States 16 373 200 172 170 165 31 1.1k
Raghunatha R. Yammani United States 21 633 1.7× 171 0.9× 58 0.3× 130 0.8× 61 0.4× 35 1.3k
Grant Bledsoe United States 22 484 1.3× 108 0.5× 145 0.8× 62 0.4× 36 0.2× 26 1.2k
Xiao Meng United States 6 366 1.0× 192 1.0× 100 0.6× 35 0.2× 89 0.5× 8 1.2k
Hirotaka Isobe Japan 15 395 1.1× 208 1.0× 342 2.0× 57 0.3× 72 0.4× 29 1.2k
Jerzy‐Roch Nofer Germany 13 749 2.0× 247 1.2× 71 0.4× 212 1.2× 47 0.3× 23 1.5k
Meei Jyh Jiang Taiwan 17 339 0.9× 136 0.7× 83 0.5× 78 0.5× 48 0.3× 30 874
Repin Vs Russia 22 511 1.4× 234 1.2× 194 1.1× 136 0.8× 81 0.5× 136 1.5k
J Kao United States 12 760 2.0× 323 1.6× 48 0.3× 60 0.4× 73 0.4× 12 1.6k
Seiji Inoshita Japan 19 1.0k 2.8× 142 0.7× 37 0.2× 127 0.7× 47 0.3× 38 1.5k
Alykhan Motani United States 13 764 2.0× 217 1.1× 131 0.8× 101 0.6× 36 0.2× 18 1.5k

Countries citing papers authored by Eunsil Hahm

Since Specialization
Citations

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

Fields of papers citing papers by Eunsil Hahm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunsil Hahm

This figure shows the co-authorship network connecting the top 25 collaborators of Eunsil Hahm. A scholar is included among the top collaborators of Eunsil Hahm 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 Eunsil Hahm. Eunsil Hahm 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
2.
Wei, Changli, et al.. (2021). suPAR, a Circulating Kidney Disease Factor. Frontiers in Medicine. 8. 745838–745838. 10 indexed citations
3.
Koh, Kwi Hye, Yanxia Cao, Steve Mangos, et al.. (2019). Nonimmune cell–derived ICOS ligand functions as a renoprotective αvβ3 integrin–selective antagonist. Journal of Clinical Investigation. 129(4). 1713–1726. 21 indexed citations
4.
Zewinger, Stephen, Vera Jankowski, Eunsil Hahm, et al.. (2019). FO084APOLIPOPROTEIN C3 INDUCES SYSTEMIC INFLAMMATION AND ORGAN DAMAGE IN CKD BY ALTERNATIVE INFLAMMASOME ACTIVATION VIA A NOVEL PATHWAY. Nephrology Dialysis Transplantation. 34(Supplement_1). 1 indexed citations
5.
Gupta, Kajal, Josef W. Goldufsky, Stephen Wood, et al.. (2017). Apoptosis and Compensatory Proliferation Signaling Are Coupled by CrkI-Containing Microvesicles. Developmental Cell. 41(6). 674–684.e5. 50 indexed citations
6.
Hahm, Eunsil, Vasil Peev, & Jochen Reiser. (2017). Extrarenal determinants of kidney filter function. Cell and Tissue Research. 369(1). 211–216. 2 indexed citations
7.
Lee, Kyoung Eun, Eunsil Hahm, Seyeon Bae, Jae Seung Kang, & Wang Jae Lee. (2017). The enhanced tumor inhibitory effects of gefitinib and L-ascorbic acid combination therapy in non-small cell lung cancer cells. Oncology Letters. 14(1). 276–282. 21 indexed citations
8.
Hahm, Eunsil, Changli Wei, Isabel Cuesta Fernández, et al.. (2016). Bone marrow-derived immature myeloid cells are a main source of circulating suPAR contributing to proteinuric kidney disease. Nature Medicine. 23(1). 100–106. 101 indexed citations
9.
Li, Jing, Kyungho Kim, Eunsil Hahm, et al.. (2014). Neutrophil AKT2 regulates heterotypic cell-cell interactions during vascular inflammation. Journal of Clinical Investigation. 124(4). 1483–1496. 52 indexed citations
11.
Kim, Kyungho, Eunsil Hahm, Jing Li, et al.. (2013). Platelet protein disulfide isomerase is required for thrombus formation but not for hemostasis in mice. Blood. 122(6). 1052–1061. 150 indexed citations
12.
Lu, Shi-Jiang, Li Feng, Hong Yin, et al.. (2011). Platelets generated from human embryonic stem cells are functional in vitro and in the microcirculation of living mice. Cell Research. 21(3). 530–545. 118 indexed citations
14.
Hahm, Eunsil, Dong‐Hoon Jin, Jae Seung Kang, et al.. (2007). The molecular mechanisms of vitamin C on cell cycle regulation in B16F10 murine melanoma. Journal of Cellular Biochemistry. 102(4). 1002–1010. 36 indexed citations
15.
Kim, Yeong Seok, Ga Bin Park, Hyun Keun Song, et al.. (2007). Cross-linking of CD54 on Burkitt Lymphoma Cell Line Raji and Ramos Induces FasL Expression by Reactive Oxygen Species and Apoptosis of Adjacent Cells in Fas/FasL Interaction. Journal of Immunotherapy. 30(7). 727–739. 6 indexed citations
16.
Kang, Jae Seung, Daeho Cho, Young‐In Kim, et al.. (2005). Sodium ascorbate (vitamin C) induces apoptosis in melanoma cells via the down‐regulation of transferrin receptor dependent iron uptake. Journal of Cellular Physiology. 204(1). 192–197. 50 indexed citations
17.
Cho, Daeho, Jae Seung Kang, Eunsil Hahm, et al.. (2004). Resistance to Cytotoxic Chemotherapy Is Induced by NK Cells in Non-Hodgkin's Lymphoma Cells. Journal of Clinical Immunology. 24(5). 553–560. 4 indexed citations
18.
Kang, Jae Seung, Daeho Cho, Young‐In Kim, et al.. (2003). l-Ascorbic acid (vitamin C) induces the apoptosis of B16 murine melanoma cells via a caspase-8?independent pathway. Cancer Immunology Immunotherapy. 52(11). 693–698. 53 indexed citations
19.
Cho, Daeho, Eunsil Hahm, Jae Seung Kang, et al.. (2003). Vitamin C downregulates interleukin-18 production by increasing reactive oxygen intermediate and mitogen-activated protein kinase signalling in B16F10 murine melanoma cells. Melanoma Research. 13(6). 549–554. 20 indexed citations
20.
Cho, Daeho, Jae Seung Kang, Jong Hoon Park, et al.. (2002). The enhanced IL-18 production by UVB irradiation requires ROI and AP-1 signaling in human keratinocyte cell line (HaCaT). Biochemical and Biophysical Research Communications. 298(2). 289–295. 36 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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