Donghoon Yoon

1.2k total citations
52 papers, 934 citations indexed

About

Donghoon Yoon is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Donghoon Yoon has authored 52 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Hematology and 16 papers in Genetics. Recurrent topics in Donghoon Yoon's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Multiple Myeloma Research and Treatments (8 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Donghoon Yoon is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Multiple Myeloma Research and Treatments (8 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Donghoon Yoon collaborates with scholars based in United States, Czechia and France. Donghoon Yoon's co-authors include Josef T. Prchal, Hana Bruchova, Joshua T. Mendell, Archana Agarwal, Gregg L. Semenza, Vladimír Divoký, Přemysl Poňka, Enli Liu, Armin Schumacher and Yves Pastore and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Biomaterials.

In The Last Decade

Donghoon Yoon

49 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghoon Yoon United States 16 430 391 224 210 122 52 934
Maria Mesuraca Italy 20 631 1.5× 181 0.5× 155 0.7× 80 0.4× 93 0.8× 41 966
Yu Hou China 20 680 1.6× 287 0.7× 109 0.5× 81 0.4× 72 0.6× 55 1.0k
Hsiang‐Ying Lee Taiwan 18 728 1.7× 110 0.3× 210 0.9× 114 0.5× 129 1.1× 33 1.1k
Sailaja Narravula United States 6 823 1.9× 363 0.9× 495 2.2× 153 0.7× 145 1.2× 8 1.4k
Christina Halsey United Kingdom 19 599 1.4× 147 0.4× 352 1.6× 239 1.1× 59 0.5× 36 1.3k
Liubin Yang United States 13 917 2.1× 273 0.7× 513 2.3× 163 0.8× 49 0.4× 24 1.4k
Tommaso Zanocco‐Marani Italy 18 543 1.3× 135 0.3× 84 0.4× 96 0.5× 72 0.6× 38 890
Ebrahim Sakhinia Iran 22 681 1.6× 365 0.9× 167 0.7× 74 0.4× 44 0.4× 73 1.3k

Countries citing papers authored by Donghoon Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Donghoon Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghoon Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Donghoon Yoon. A scholar is included among the top collaborators of Donghoon Yoon 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 Donghoon Yoon. Donghoon Yoon 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
1.
Lee, Bok‐Soon, Yea–In Park, Su Yeon Kim, et al.. (2025). The role of 7-dehydrocholesterol in inducing ER stress and apoptosis of head and neck squamous cell carcinoma. Cancer Letters. 628. 217842–217842. 3 indexed citations
2.
Mehdi, Syed Hassan, L. D. Shultz, Eun‐Kyung Kim, et al.. (2024). Development of New Diffuse Large B Cell Lymphoma Mouse Models. Cancers. 16(17). 3006–3006. 1 indexed citations
3.
Mehdi, Syed Hassan, Debasmita Saha, Stephanie D. Byrum, et al.. (2023). Bifunctional Inhibitor Reveals NEK2 as a Therapeutic Target and Regulator of Oncogenic Pathways in Lymphoma. Molecular Cancer Therapeutics. 23(3). 316–329. 8 indexed citations
4.
Li, Yuankai, Punit Prakash, Balasubramaniam Natarajan, et al.. (2022). Experimental Validation of Diffraction Lithography for Fabrication of Solid Microneedles. Materials. 15(24). 8934–8934. 14 indexed citations
5.
Mehdi, Syed Hassan, Sana Nafees, Syed J. Mehdi, et al.. (2021). Animal Models of Multiple Myeloma Bone Disease. Frontiers in Genetics. 12. 640954–640954. 9 indexed citations
6.
Li, Yang, Bumjin Kim, Boi Hoa San, et al.. (2018). Visualizing collagen proteolysis by peptide hybridization: From 3D cell culture to in vivo imaging. Biomaterials. 183. 67–76. 65 indexed citations
7.
Zangari, Maurizio, et al.. (2018). Surgical thyroparathyroidectomy prevents progression of 5TGM1 murine multiple myeloma in vivo. Journal of bone oncology. 12. 19–22. 3 indexed citations
8.
Divoký, Vladimír, Jihyun Song, Monika Horváthová, et al.. (2015). Delayed hemoglobin switching and perinatal neocytolysis in mice with gain-of-function erythropoietin receptor. Journal of Molecular Medicine. 94(5). 597–608. 10 indexed citations
9.
Song, Jihyun, Donghoon Yoon, Robert D. Christensen, et al.. (2015). HIF-mediated increased ROS from reduced mitophagy and decreased catalase causes neocytolysis. Journal of Molecular Medicine. 93(8). 857–866. 31 indexed citations
10.
Zangari, Maurizio, Tamara Berno, Ye Yang, et al.. (2014). Parathyroid hormone receptor mediates the anti-myeloma effect of proteasome inhibitors. Bone. 61. 39–43. 8 indexed citations
11.
Zangari, Maurizio, Joshua Epstein, Shmuel Yaccoby, et al.. (2014). Higher Expressions of PTH Receptor Type 1 and/or 2 in Bone Marrow Is Associated to Longer Survival in Newly Diagnosed Myeloma Patients Enrolled in Total Therapy 3. Blood. 124(21). 3409–3409. 1 indexed citations
12.
McClain, Donald A., Khadega A. Abuelgasim, Mehdi Nouraie, et al.. (2012). Decreased serum glucose and glycosylated hemoglobin levels in patients with Chuvash polycythemia: a role for HIF in glucose metabolism. Journal of Molecular Medicine. 91(1). 59–67. 38 indexed citations
13.
Świerczek, Sabina, Donghoon Yoon, Christine Bellanné‐Chantelot, et al.. (2011). Extent of hematopoietic involvement by TET2 mutations in JAK2V617F polycythemia vera. Haematologica. 96(5). 775–778. 21 indexed citations
14.
Yoon, Donghoon, Bumjun Kim, Daniel J. Okhotin, et al.. (2010). Increased size of solid organs in patients with Chuvash polycythemia and in mice with altered expression of HIF-1α and HIF-2α. Journal of Molecular Medicine. 88(5). 523–530. 16 indexed citations
15.
Lee, Hye‐Ja, Chongsuk Ryou, Jee H. Jung, et al.. (2010). Anti-inflammatory effect of methyl dehydrojasmonate (J2) is mediated by the NF-κB pathway. Journal of Molecular Medicine. 89(1). 83–90. 33 indexed citations
16.
Hegde, Shailaja, Shuang Ni, Shihan He, et al.. (2009). Stat3 promotes the development of erythroleukemia by inducing Pu.1 expression and inhibiting erythroid differentiation. Oncogene. 28(38). 3349–3359. 30 indexed citations
17.
Kim, Young‐Hwan, Jihyun Song, Charles E. Mays, et al.. (2009). Changes in gene expression of kringle domain-containing proteins in murine brains and neuroblastoma cells infected by prions. Molecular and Cellular Biochemistry. 328(1-2). 177–182. 7 indexed citations
18.
Yoon, Donghoon, Bum Jun Kim, & Josef T. Prchal. (2008). Cre recombinase expression controlled by the hematopoietic regulatory domain of Gata-1 is erythroid-specific. Blood Cells Molecules and Diseases. 40(3). 381–387. 2 indexed citations
19.
Gaikwad, Amos, Srđan Verstovšek, Donghoon Yoon, et al.. (2007). Imatinib effect on growth and signal transduction in polycythemia vera. Experimental Hematology. 35(6). 931–938. 17 indexed citations
20.

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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