Nail Fatkhutdinov

1.8k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Nail Fatkhutdinov is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Nail Fatkhutdinov has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Cancer Research. Recurrent topics in Nail Fatkhutdinov's work include Chromatin Remodeling and Cancer (9 papers), Cancer Mechanisms and Therapy (5 papers) and Protein Degradation and Inhibitors (3 papers). Nail Fatkhutdinov is often cited by papers focused on Chromatin Remodeling and Cancer (9 papers), Cancer Mechanisms and Therapy (5 papers) and Protein Degradation and Inhibitors (3 papers). Nail Fatkhutdinov collaborates with scholars based in United States, Russia and France. Nail Fatkhutdinov's co-authors include Rugang Zhang, Takeshi Fukumoto, Andrew V. Kossenkov, Timothy Nacarelli, David W. Speicher, Shuai Wu, Benjamin G. Bitler, Sergey Karakashev, Joseph A. Zundell and Hsin‐Yao Tang and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Cancer Cell.

In The Last Decade

Nail Fatkhutdinov

15 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NAD+ metabolism governs the proinflammatory senescence-associated secretome

2019 282 citations Timothy Nacarelli, Lena Lau et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nail Fatkhutdinov United States	13	806	339	187	169	149	15	1.1k
Ka-Kei Ho United Kingdom	8	595 0.7×	172 0.5×	288 1.5×	69 0.4×	74 0.5×	8	978
Rumela Chakrabarti United States	11	742 0.9×	504 1.5×	244 1.3×	108 0.6×	105 0.7×	12	1.2k
Laura Zannini Italy	16	817 1.0×	335 1.0×	203 1.1×	81 0.5×	58 0.4×	24	1.0k
Ellen P.S. Man Hong Kong	18	967 1.2×	407 1.2×	277 1.5×	40 0.2×	275 1.8×	24	1.3k
Ulrich Cortes France	20	955 1.2×	947 2.8×	185 1.0×	41 0.2×	93 0.6×	28	1.5k
Claudia Capparelli United States	14	720 0.9×	378 1.1×	410 2.2×	126 0.7×	35 0.2×	23	1.1k
Michaël Cerezo France	13	708 0.9×	303 0.9×	238 1.3×	48 0.3×	37 0.2×	16	1.1k
Hao‐Chen Wang Taiwan	15	420 0.5×	342 1.0×	190 1.0×	114 0.7×	51 0.3×	30	934
Lloye M. Dillon United States	15	659 0.8×	188 0.6×	134 0.7×	186 1.1×	44 0.3×	25	925
Vera Roginskaya United States	18	682 0.8×	191 0.6×	137 0.7×	167 1.0×	86 0.6×	28	1.1k

Countries citing papers authored by Nail Fatkhutdinov

Since Specialization

Citations

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

Fields of papers citing papers by Nail Fatkhutdinov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nail Fatkhutdinov

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

All Works

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15 of 15 papers shown

Fukumoto, Takeshi, Jianhuang Lin, Nail Fatkhutdinov, et al.. (2020). ARID2 Deficiency Correlates with the Response to Immune Checkpoint Blockade in Melanoma. Journal of Investigative Dermatology. 141(6). 1564–1572.e4. 29 indexed citations

Zhao, Bo, Pingyu Liu, Takeshi Fukumoto, et al.. (2020). Topoisomerase 1 cleavage complex enables pattern recognition and inflammation during senescence. Nature Communications. 11(1). 908–908. 51 indexed citations

Karakashev, Sergey, Takeshi Fukumoto, Bo Zhao, et al.. (2020). EZH2 Inhibition Sensitizes CARM1-High, Homologous Recombination Proficient Ovarian Cancers to PARP Inhibition. Cancer Cell. 37(2). 157–167.e6. 97 indexed citations

Nacarelli, Timothy, Takeshi Fukumoto, Joseph A. Zundell, et al.. (2019). NAMPT Inhibition Suppresses Cancer Stem-like Cells Associated with Therapy-Induced Senescence in Ovarian Cancer. Cancer Research. 80(4). 890–900. 112 indexed citations

Nacarelli, Timothy, Lena Lau, Takeshi Fukumoto, et al.. (2019). NAD+ metabolism governs the proinflammatory senescence-associated secretome. Nature Cell Biology. 21(3). 397–407. 282 indexed citations breakdown →

Zhao, Bo, Jianhuang Lin, Lijie Rong, et al.. (2019). ARID1A promotes genomic stability through protecting telomere cohesion. Nature Communications. 10(1). 4067–4067. 40 indexed citations

Wu, Shuai, Nail Fatkhutdinov, Leah F. Rosin, et al.. (2019). ARID1A spatially partitions interphase chromosomes. Science Advances. 5(5). eaaw5294–eaaw5294. 25 indexed citations

Fukumoto, Takeshi, Hengrui Zhu, Sergey Karakashev, et al.. (2019). Abstract NT-093: THE N6-METHYLATION OF ADENOSINE (M6A) IN FZD10 MRNA CONTRIBUTES TO RESISTANCE TO PARP INHIBITOR. Clinical Cancer Research. 25(22_Supplement). NT–93. 1 indexed citations

Fukumoto, Takeshi, Hengrui Zhu, Timothy Nacarelli, et al.. (2019). N6-Methylation of Adenosine of FZD10 mRNA Contributes to PARP Inhibitor Resistance. Cancer Research. 79(11). 2812–2820. 141 indexed citations

10.

Wu, Shuai, Nail Fatkhutdinov, Takeshi Fukumoto, et al.. (2018). SWI/SNF catalytic subunits’ switch drives resistance to EZH2 inhibitors in ARID1A-mutated cells. Nature Communications. 9(1). 4116–4116. 42 indexed citations

11.

Fukumoto, Takeshi, Pyoung Hwa Park, Shuai Wu, et al.. (2018). Repurposing Pan-HDAC Inhibitors for ARID1A-Mutated Ovarian Cancer. Cell Reports. 22(13). 3393–3400. 77 indexed citations

12.

Karakashev, Sergey, Hengrui Zhu, Yuhki Yokoyama, et al.. (2017). BET Bromodomain Inhibition Synergizes with PARP Inhibitor in Epithelial Ovarian Cancer. Cell Reports. 21(12). 3398–3405. 134 indexed citations

13.

Kossenkov, Andrew V., Sergey Karakashev, Fiona Simpkins, et al.. (2017). BET Bromodomain Inhibition Synergizes with PARP Inhibitor in Epithelial Ovarian Cancer. 1 indexed citations

14.

Fatkhutdinov, Nail, Katrin Sproesser, Clemens Krepler, et al.. (2016). Targeting RRM2 and Mutant BRAF Is a Novel Combinatorial Strategy for Melanoma. Molecular Cancer Research. 14(9). 767–775. 23 indexed citations

15.

Bitler, Benjamin G., Nail Fatkhutdinov, & Rugang Zhang. (2015). Potential therapeutic targets inARID1A-mutated cancers. Expert Opinion on Therapeutic Targets. 19(11). 1419–1422. 52 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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