Goran Micevic

3.5k total citations · 1 hit paper
32 papers, 2.0k citations indexed

About

Goran Micevic is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Goran Micevic has authored 32 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Oncology and 11 papers in Immunology. Recurrent topics in Goran Micevic's work include Epigenetics and DNA Methylation (8 papers), Immunotherapy and Immune Responses (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Goran Micevic is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Immunotherapy and Immune Responses (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Goran Micevic collaborates with scholars based in United States, Australia and Canada. Goran Micevic's co-authors include Marcus Bosenberg, Nicholas Theodosakis, Katrina Meeth, William Damsky, José C. Perales, Steven H. Kleinstein, Ping‐Chih Ho, Xiaojing Liu, Matthew Staron and Robert A. Amezquita and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Goran Micevic

29 papers receiving 2.0k citations

Hit Papers

Phosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tum... 2015 2026 2018 2022 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Goran Micevic United States 16 1.0k 974 796 588 129 32 2.0k
Senlin Xu China 20 1.1k 1.1× 456 0.5× 858 1.1× 610 1.0× 165 1.3× 43 2.0k
Alison M. Michie United Kingdom 27 1.2k 1.2× 1.0k 1.1× 486 0.6× 304 0.5× 98 0.8× 67 2.5k
Huiyin Lan China 11 931 0.9× 608 0.6× 508 0.6× 529 0.9× 141 1.1× 18 1.7k
Tim Hon Man Chan United States 31 1.8k 1.7× 648 0.7× 647 0.8× 489 0.8× 137 1.1× 66 2.7k
Srinivas Malladi United States 12 981 0.9× 576 0.6× 952 1.2× 384 0.7× 211 1.6× 28 1.9k
Dayana B. Rivadeneira United States 17 1.1k 1.0× 802 0.8× 957 1.2× 714 1.2× 271 2.1× 26 2.3k
Jianhua Ling United States 22 1.2k 1.1× 402 0.4× 594 0.7× 457 0.8× 86 0.7× 28 1.8k
Brian C. Grabiner United States 11 1.1k 1.1× 422 0.4× 441 0.6× 472 0.8× 164 1.3× 11 1.8k
Meixiang Sang China 27 1.7k 1.6× 557 0.6× 708 0.9× 970 1.6× 232 1.8× 107 2.4k

Countries citing papers authored by Goran Micevic

Since Specialization
Citations

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

Fields of papers citing papers by Goran Micevic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goran Micevic

This figure shows the co-authorship network connecting the top 25 collaborators of Goran Micevic. A scholar is included among the top collaborators of Goran Micevic 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 Goran Micevic. Goran Micevic 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.
Flem‐Karlsen, Karine, Ronan Talty, Meaghan K. McGeary, et al.. (2025). Cytotoxic CD8+ T Cells Downregulate GPX4 to Promote Ferroptosis in Melanoma That Drives Antitumor Immunity. Cancer Research. 85(21). 4139–4150.
2.
Qin, Tingting, Austin K. Mattox, Jean S. Campbell, et al.. (2025). Epigenetic therapy sensitizes anti–PD-1 refractory head and neck cancers to immunotherapy rechallenge. Journal of Clinical Investigation. 135(6). 5 indexed citations
3.
Eisenstein, Anna, et al.. (2025). EGFR-STAT1 pathway drives fibrosis initiation in fibroinflammatory skin diseases. Nature Communications. 16(1). 8969–8969. 1 indexed citations
4.
Deshmukh, M.G., et al.. (2025). DNA methylation in melanoma immunotherapy: mechanisms and therapeutic opportunities. Clinical Epigenetics. 17(1). 71–71. 3 indexed citations
5.
McGeary, Meaghan K., William Damsky, Sabine M. Lang, et al.. (2024). Setdb1 Loss Induces Type I Interferons and Immune Clearance of Melanoma. Cancer Immunology Research. 13(2). 245–257. 4 indexed citations
7.
Micevic, Goran, Andrew Daniels, Karine Flem‐Karlsen, et al.. (2023). IL-7R licenses a population of epigenetically poised memory CD8 + T cells with superior antitumor efficacy that are critical for melanoma memory. Proceedings of the National Academy of Sciences. 120(30). e2304319120–e2304319120. 16 indexed citations
8.
Micevic, Goran, Marcus Bosenberg, & Qin Yan. (2022). The Crossroads of Cancer Epigenetics and Immune Checkpoint Therapy. Clinical Cancer Research. 29(7). 1173–1182. 40 indexed citations
9.
Talty, Ronan, Goran Micevic, Alice Wang, Christine J. Ko, & William Damsky. (2022). Leukoderma Induced by Rotigotine Patch, a Transdermal Dopamine Agonist. Case Reports in Dermatology. 14(2). 214–218. 1 indexed citations
10.
Talty, Ronan, Goran Micevic, William Damsky, & Brett King. (2022). Erythrodermic scabies in an immunocompetent patient. JAAD Case Reports. 29. 112–115.
11.
Newton, Ana S., John C. Faver, Goran Micevic, et al.. (2020). Structure-Guided Identification of DNMT3B Inhibitors. ACS Medicinal Chemistry Letters. 11(5). 971–976. 17 indexed citations
12.
Micevic, Goran, Durga Thakral, Meaghan K. McGeary, & Marcus Bosenberg. (2018). PD‐L1 methylation regulates PD‐L1 expression and is associated with melanoma survival. Pigment Cell & Melanoma Research. 32(3). 435–440. 62 indexed citations
13.
Micevic, Goran, et al.. (2017). Balanitis associated with FOLFIRI chemotherapy. JAAD Case Reports. 4(1). 58–60. 2 indexed citations
14.
Micevic, Goran, Nicholas Theodosakis, & Marcus Bosenberg. (2017). Aberrant DNA methylation in melanoma: biomarker and therapeutic opportunities. Clinical Epigenetics. 9(1). 34–34. 135 indexed citations
15.
Brooks, Eric D., Jonathan E. Schoenhals, Chad Tang, et al.. (2016). Stereotactic Ablative Radiation Therapy Combined With Immunotherapy for Solid Tumors. The Cancer Journal. 22(4). 257–266. 40 indexed citations
16.
Criscione, Steven W., Nicholas Theodosakis, Goran Micevic, et al.. (2016). Genome-wide characterization of human L1 antisense promoter-driven transcripts. BMC Genomics. 17(1). 463–463. 46 indexed citations
17.
Micevic, Goran, Viswanathan Muthusamy, William Damsky, et al.. (2016). DNMT3b Modulates Melanoma Growth by Controlling Levels of mTORC2 Component RICTOR. Cell Reports. 14(9). 2180–2192. 60 indexed citations
18.
Theodosakis, Nicholas, Matthew A. Held, Katrina Meeth, et al.. (2015). BRAF Inhibition Decreases Cellular Glucose Uptake in Melanoma in Association with Reduction in Cell Volume. Molecular Cancer Therapeutics. 14(7). 1680–1692. 29 indexed citations
19.
Damsky, William, Goran Micevic, Katrina Meeth, et al.. (2015). mTORC1 Activation Blocks BrafV600E-Induced Growth Arrest but Is Insufficient for Melanoma Formation. Cancer Cell. 27(1). 41–56. 87 indexed citations
20.
Ho, Ping‐Chih, Jessica Bihuniak, Andrew N. Macintyre, et al.. (2015). Phosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tumor T Cell Responses. Cell. 162(6). 1217–1228. 1076 indexed citations breakdown →

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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