Eduard Reznik

1.7k total citations · 2 hit papers
18 papers, 658 citations indexed

About

Eduard Reznik is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Eduard Reznik has authored 18 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 8 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Eduard Reznik's work include Ferroptosis and cancer prognosis (6 papers), Renal cell carcinoma treatment (5 papers) and Renal and related cancers (3 papers). Eduard Reznik is often cited by papers focused on Ferroptosis and cancer prognosis (6 papers), Renal cell carcinoma treatment (5 papers) and Renal and related cancers (3 papers). Eduard Reznik collaborates with scholars based in United States, Australia and Brazil. Eduard Reznik's co-authors include Brent R. Stockwell, Fereshteh Zandkarimi, Baiyu Qiu, Rajesh K. Soni, Wei Gu, Xuejun Jiang, Tal Hirschhorn, Mikhail S. Shchepinov, Wei Min and Verna M. Estes and has published in prestigious journals such as Cell, Journal of Clinical Oncology and The Journal of Urology.

In The Last Decade

Eduard Reznik

15 papers receiving 649 citations

Hit Papers

Identification of essential sites of lipid peroxidation i... 2023 2026 2024 2025 2023 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduard Reznik United States 8 380 373 264 101 62 18 658
Li Zhuang United States 3 469 1.2× 540 1.4× 380 1.4× 89 0.9× 34 0.5× 5 814
Qiangan Jing China 8 308 0.8× 319 0.9× 241 0.9× 128 1.3× 107 1.7× 13 586
Ana‐Marija Vučković Italy 6 536 1.4× 467 1.3× 343 1.3× 60 0.6× 70 1.1× 7 818
Wanye Hu China 11 512 1.3× 539 1.4× 366 1.4× 155 1.5× 131 2.1× 14 883
Bincy Paul Kuwait 6 209 0.6× 247 0.7× 179 0.7× 71 0.7× 48 0.8× 9 458
Mingming Xiao China 3 275 0.7× 404 1.1× 271 1.0× 108 1.1× 32 0.5× 9 707
Kuo Yang China 19 219 0.6× 497 1.3× 263 1.0× 152 1.5× 30 0.5× 52 825
Kendra Triplett United States 5 328 0.9× 408 1.1× 310 1.2× 92 0.9× 20 0.3× 6 668
Samantha Alvarez United States 7 666 1.8× 919 2.5× 595 2.3× 116 1.1× 81 1.3× 11 1.2k

Countries citing papers authored by Eduard Reznik

Since Specialization
Citations

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

Fields of papers citing papers by Eduard Reznik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduard Reznik

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

All Works

18 of 18 papers shown
1.
Bakouny, Ziad, Chris Fong, Michele Waters, et al.. (2025). Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research.. Journal of Clinical Oncology. 43(16_suppl). 1558–1558.
2.
Qiu, Baiyu, Fereshteh Zandkarimi, Eduard Reznik, et al.. (2024). Phospholipids with two polyunsaturated fatty acyl tails promote ferroptosis. Cell. 187(5). 1177–1190.e18. 178 indexed citations breakdown →
3.
Stokes, Michael E., Alessandro Vasciaveo, Arie Zask, et al.. (2023). Subtype-selective prenylated isoflavonoids disrupt regulatory drivers of MYCN-amplified cancers. Cell chemical biology. 31(4). 805–819.e9. 4 indexed citations
4.
Reznik, Eduard, Brygida Bisikirska, Qian Wang, et al.. (2023). Kinases Controlling Stability of the Oncogenic MYCN Protein. ACS Medicinal Chemistry Letters. 14(12). 1664–1672. 4 indexed citations
5.
Robson, Ryan N., Naixin Qian, Baiyu Qiu, et al.. (2023). Identification of essential sites of lipid peroxidation in ferroptosis. Nature Chemical Biology. 19(6). 719–730. 253 indexed citations breakdown →
6.
Reznik, Eduard, Tal Hirschhorn, Fereshteh Zandkarimi, et al.. (2023). Ferroptosis inhibition by oleic acid mitigates iron-overload-induced injury. Cell chemical biology. 31(2). 249–264.e7. 51 indexed citations
7.
Tang, Cerise, Fengshen Kuo, Min‐Soo Kim, et al.. (2023). Immunometabolic coevolution defines unique microenvironmental niches in ccRCC. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Lee, Chung‐Han, Martin H. Voss, Maria I. Carlo, et al.. (2021). Nivolumab plus cabozantinib in patients with non-clear cell renal cell carcinoma: Results of a phase 2 trial.. Journal of Clinical Oncology. 39(15_suppl). 4509–4509. 28 indexed citations
9.
Silagy, Andrew W., Emily C. Zabor, Roy Mano, et al.. (2020). Predictors of long-term renal function after kidney surgery for patients with preoperative chronic kidney disease. Canadian Urological Association Journal. 15(2). E103–E109.
10.
Ye, Ling F., Eduard Reznik, Joshua M. Korn, et al.. (2020). Patient-derived glioblastoma cultures as a tool for small-molecule drug discovery. Oncotarget. 11(4). 443–451. 15 indexed citations
11.
Attalla, Kyrollis, Renzo G. DiNatale, Eduard Reznik, et al.. (2020). Prevalence and landscape of actionable genomic alterations in renal cell carcinoma.. Journal of Clinical Oncology. 38(6_suppl). 616–616. 1 indexed citations
12.
Vasan, Neil, Pedram Razavi, Hong Shao, et al.. (2019). Double PIK3CA mutations in cis enhance PI3Kα oncogene activation and sensitivity to PI3Kα inhibitors in breast cancer. Annals of Oncology. 30. iii1–iii1. 5 indexed citations
13.
Silagy, Andrew W., Roy Mano, Kyle A. Blum, et al.. (2019). The Role of Cytoreductive Nephrectomy for Sarcomatoid Renal Cell Carcinoma: A 29-Year Institutional Experience. Urology. 136. 169–175. 7 indexed citations
14.
Marcon, Julian, Andrew W. Silagy, Roy Mano, et al.. (2019). MP21-04 NEUTROPHIL-TO-LYMPHOCYTE RATIO IN UNCLASSIFIED RENAL CELL CARCINOMA IS ASSOCIATED WITH PROGNOSIS AND VARIES BETWEEN MOLECULAR SUBGROUPS. The Journal of Urology. 201(Supplement 4). 1 indexed citations
15.
Shimada, Kaoru, Eduard Reznik, Michael E. Stokes, et al.. (2018). Copper-Binding Small Molecule Induces Oxidative Stress and Cell-Cycle Arrest in Glioblastoma-Patient-Derived Cells. Cell chemical biology. 25(5). 585–594.e7. 84 indexed citations
16.
Shimada, Kaoru, Eduard Reznik, Michael E. Stokes, et al.. (2018). Copper-Binding Small Molecule Induces Oxidative Stress and Cell Cycle Arrest in Glioblastoma-Patient-Derived Cells. SSRN Electronic Journal.
17.
Casuscelli, Jozefina, Andrew Winer, Eduard Reznik, et al.. (2016). MP73-17 SINGLE-INSTITUTIONAL ANALYSIS OF PATIENTS WITH CLEAR-CELL PAPILLARY RENAL CELL CARCINOMA. The Journal of Urology. 195(4S). 1 indexed citations
18.
Reznik, Eduard, et al.. (2015). High-Throughput Screening of Patient-Derived Cultures Reveals Potential for Precision Medicine in Glioblastoma. ACS Medicinal Chemistry Letters. 6(8). 948–952. 25 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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