Mikhail Gorbounov

860 total citations
8 papers, 645 citations indexed

About

Mikhail Gorbounov is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Mikhail Gorbounov has authored 8 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Plant Science. Recurrent topics in Mikhail Gorbounov's work include Chromosomal and Genetic Variations (2 papers), Immune cells in cancer (2 papers) and Immune Cell Function and Interaction (2 papers). Mikhail Gorbounov is often cited by papers focused on Chromosomal and Genetic Variations (2 papers), Immune cells in cancer (2 papers) and Immune Cell Function and Interaction (2 papers). Mikhail Gorbounov collaborates with scholars based in United States, Netherlands and South Korea. Mikhail Gorbounov's co-authors include Juan Fu, Drew M. Pardoll, Fan Pan, Tullia C. Bruno, Qi Zeng, Young Kim, Hao Zhang, David Vasquez-Dunddel, Richard L. Blosser and Emilia Albesiano and has published in prestigious journals such as Journal of Clinical Investigation, Nature Structural & Molecular Biology and Breast Cancer Research and Treatment.

In The Last Decade

Mikhail Gorbounov

8 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mikhail Gorbounov United States	8	381	242	231	83	74	8	645
С. С. Богачев Russia	15	235 0.6×	342 1.4×	205 0.9×	74 0.9×	115 1.6×	90	660
Akira Harashima Japan	15	256 0.7×	243 1.0×	100 0.4×	29 0.3×	79 1.1×	37	574
Jiamin Luo China	11	163 0.4×	276 1.1×	135 0.6×	81 1.0×	36 0.5×	33	647
Aaron McCarty United States	7	338 0.9×	292 1.2×	138 0.6×	22 0.3×	62 0.8×	7	684
Marco Bardelli Switzerland	11	469 1.2×	282 1.2×	322 1.4×	19 0.2×	29 0.4×	16	737
Takanori Kubo Japan	17	192 0.5×	573 2.4×	183 0.8×	18 0.2×	122 1.6×	68	844
Xiangyi Shi China	10	156 0.4×	164 0.7×	70 0.3×	28 0.3×	49 0.7×	15	407
Maya Datt Joshi United States	9	143 0.4×	479 2.0×	179 0.8×	20 0.2×	113 1.5×	14	644
Keman Zhang United States	14	153 0.4×	317 1.3×	208 0.9×	12 0.1×	92 1.2×	26	543
Kay Hänggi United States	10	355 0.9×	498 2.1×	265 1.1×	15 0.2×	128 1.7×	16	839

Countries citing papers authored by Mikhail Gorbounov

Since Specialization

Citations

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

Fields of papers citing papers by Mikhail Gorbounov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Gorbounov

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

All Works

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8 of 8 papers shown

1.

Ardeljan, Daniel, Jared P. Steranka, Chunhong Liu, et al.. (2020). Cell fitness screens reveal a conflict between LINE-1 retrotransposition and DNA replication. Nature Structural & Molecular Biology. 27(2). 168–178. 80 indexed citations

2.

Ardeljan, Daniel, Xuya Wang, Martin S. Taylor, et al.. (2019). LINE-1 ORF2p expression is nearly imperceptible in human cancers. Mobile DNA. 11(1). 1–1. 39 indexed citations

3.

Gorbounov, Mikhail, Neil Carleton, Lingling Xian, et al.. (2019). High mobility group A1 (HMGA1) protein and gene expression correlate with ER-negativity and poor outcomes in breast cancer. Breast Cancer Research and Treatment. 179(1). 25–35. 17 indexed citations

4.

Zeng, Qi, Juan Fu, Michael Korrer, et al.. (2018). Caspase-1 from Human Myeloid-Derived Suppressor Cells Can Promote T Cell–Independent Tumor Proliferation. Cancer Immunology Research. 6(5). 566–577. 23 indexed citations

5.

Carleton, Neil, Guangjing Zhu, Mikhail Gorbounov, et al.. (2018). PBOV1 as a potential biomarker for more advanced prostate cancer based on protein and digital histomorphometric analysis. The Prostate. 78(7). 547–559. 14 indexed citations

6.

Vasquez-Dunddel, David, Fan Pan, Qi Zeng, et al.. (2013). STAT3 regulates arginase-I in myeloid-derived suppressor cells from cancer patients. Journal of Clinical Investigation. 123(4). 1580–1589. 428 indexed citations

7.

Zuo, Lian, et al.. (2007). New Technology and Clinical Applications of Nanomedicine. Medical Clinics of North America. 91(5). 845–862. 16 indexed citations

8.

Wei, Chiming, et al.. (2007). Nanomedicine and Drug Delivery. Medical Clinics of North America. 91(5). 863–870. 28 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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