Maxim Pimkin

1.2k total citations
22 papers, 846 citations indexed

About

Maxim Pimkin is a scholar working on Molecular Biology, Hematology and Molecular Medicine. According to data from OpenAlex, Maxim Pimkin has authored 22 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Hematology and 3 papers in Molecular Medicine. Recurrent topics in Maxim Pimkin's work include Acute Myeloid Leukemia Research (6 papers), RNA modifications and cancer (5 papers) and Genomics and Chromatin Dynamics (5 papers). Maxim Pimkin is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), RNA modifications and cancer (5 papers) and Genomics and Chromatin Dynamics (5 papers). Maxim Pimkin collaborates with scholars based in United States, Russia and France. Maxim Pimkin's co-authors include Mikhail V. Edelstein, L. Stratchounski, Ivan Palagin, Inna A. Edelstein, George D. Markham, Mitchell J. Weiss, Tejaswini Mishra, Ross C. Hardison, Cheryl A. Keller and Julia Pimkina and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Molecular Cell.

In The Last Decade

Maxim Pimkin

22 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxim Pimkin United States 12 477 336 181 132 131 22 846
Michele Iacono Italy 11 724 1.5× 323 1.0× 187 1.0× 70 0.5× 204 1.6× 15 1.1k
Chiara Lucchetti Italy 13 259 0.5× 116 0.3× 49 0.3× 46 0.3× 41 0.3× 20 540
Tomasz Bogiel Poland 15 343 0.7× 160 0.5× 94 0.5× 113 0.9× 103 0.8× 74 717
Natalya Baranova United States 7 259 0.5× 215 0.6× 71 0.4× 68 0.5× 49 0.4× 8 538
Xin Gan China 14 466 1.0× 123 0.4× 111 0.6× 33 0.3× 158 1.2× 27 761
Neil Molyneaux United States 6 225 0.5× 426 1.3× 218 1.2× 45 0.3× 44 0.3× 7 634
Tian-tuo Zhang China 8 320 0.7× 144 0.4× 65 0.4× 70 0.5× 147 1.1× 9 607
A. Belaaouaj United States 8 172 0.4× 107 0.3× 51 0.3× 69 0.5× 88 0.7× 9 542
Alessandra Mattos Saliba Brazil 16 324 0.7× 109 0.3× 104 0.6× 103 0.8× 17 0.1× 35 627
Yajie Zhao China 14 233 0.5× 249 0.7× 109 0.6× 67 0.5× 27 0.2× 38 685

Countries citing papers authored by Maxim Pimkin

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Pimkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Pimkin

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Pimkin. A scholar is included among the top collaborators of Maxim Pimkin 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 Maxim Pimkin. Maxim Pimkin 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.
Kalfon, Jérémie, et al.. (2023). Rapid-Kinetics Degron Benchmarking Reveals Off-Target Activities and Mixed Agonism-Antagonism of MYB Inhibitors. Blood. 142(Supplement 1). 3638–3638. 1 indexed citations
2.
Pimkin, Maxim, et al.. (2023). Construction and validation of customized genomes for human and mouse ribosomal DNA mapping. Journal of Biological Chemistry. 299(6). 104766–104766. 13 indexed citations
3.
Pimkin, Maxim, et al.. (2023). FISH-Flow to quantify nascent and mature ribosomal RNA in mouse and human cells. STAR Protocols. 4(3). 102463–102463. 3 indexed citations
4.
Kalfon, Jérémie, Yaser Heshmati, Joshua M. Dempster, et al.. (2022). Transcriptional Plasticity Drives Leukemia Immune Escape. Blood Cancer Discovery. 3(5). 394–409. 12 indexed citations
5.
Thorsheim, Chelsea, Yuxi Ai, Long Gao, et al.. (2022). Control of ribosomal RNA synthesis by hematopoietic transcription factors. Molecular Cell. 82(20). 3826–3839.e9. 11 indexed citations
6.
Pimkin, Maxim, et al.. (2021). PHF6 Positively Regulates Transcription of Myeloid Differentiation Genes By Binding at Enhancer Regions. Blood. 138(Supplement 1). 3303–3303. 1 indexed citations
7.
Pimkin, Maxim, et al.. (2021). CEBPA Directly Binds Ribosomal DNA and Promotes Ribosomal RNA Transcription in Myeloid Progenitors. Blood. 138(Supplement 1). 3269–3269. 1 indexed citations
8.
Ellegast, Jana M., Gabriela Alexe, Shan Lin, et al.. (2021). Unleashing Cell-Intrinsic Inflammation As a Strategy to Kill AML Blasts. Blood. 138(Supplement 1). 3305–3305. 3 indexed citations
9.
Pimkin, Maxim, et al.. (2020). PHF6 Restricts AML Acceleration By Promoting Myeloid Differentiation Genes in Leukemic Cells. Blood. 136(Supplement 1). 42–43. 1 indexed citations
10.
Paralkar, Vikram R., Tejaswini Mishra, Jing Luan, et al.. (2014). Lineage and species-specific long noncoding RNAs during erythro-megakaryocytic development. Blood. 123(12). 1927–1937. 133 indexed citations
11.
Pimkin, Maxim, Andrew V. Kossenkov, Tejaswini Mishra, et al.. (2014). Divergent functions of hematopoietic transcription factors in lineage priming and differentiation during erythro-megakaryopoiesis. Genome Research. 24(12). 1932–1944. 75 indexed citations
12.
Wu, Wei-Sheng, Christapher S. Morrissey, Cheryl A. Keller, et al.. (2014). Dynamic shifts in occupancy by TAL1 are guided by GATA factors and drive large-scale reprogramming of gene expression during hematopoiesis. Genome Research. 24(12). 1945–1962. 64 indexed citations
13.
Pimkin, Maxim, Julia Pimkina, & George D. Markham. (2009). A Regulatory Role of the Bateman Domain of IMP Dehydrogenase in Adenylate Nucleotide Biosynthesis. Journal of Biological Chemistry. 284(12). 7960–7969. 44 indexed citations
14.
Pimkin, Maxim & George D. Markham. (2009). Inosine 5′-Monophosphate Dehydrogenase. Advances in enzymology and related areas of molecular biology/Advances in enzymology and related subjects. 76. 1–53. 10 indexed citations
15.
Pimkin, Maxim & George D. Markham. (2008). The CBS subdomain of inosine 5′‐monophosphate dehydrogenase regulates purine nucleotide turnover. Molecular Microbiology. 68(2). 342–359. 52 indexed citations
16.
Pimkin, Maxim, et al.. (2008). Convergent In Vivo and In Vitro Selection of Ceftazidime Resistance Mutations at Position 167 of CTX-M-3 β-Lactamase in Hypermutable Escherichia coli Strains. Antimicrobial Agents and Chemotherapy. 52(4). 1297–1301. 15 indexed citations
17.
Pimkin, Maxim, Elena Caretti, Adrian A. Canutescu, et al.. (2007). Recombinant nucleases CEL I from celery and SP I from spinach for mutation detection. BMC Biotechnology. 7(1). 29–29. 13 indexed citations
18.
Pimkin, Maxim, et al.. (2006). Characterization of a periplasmic S1-like nuclease coded by the Mesorhizobium loti symbiosis island. Biochemical and Biophysical Research Communications. 343(1). 77–84. 10 indexed citations
19.
Edelstein, Mikhail V., et al.. (2004). Multiple Outbreaks of Nosocomial Salmonellosis in Russia and Belarus Caused by a Single Clone of Salmonella enterica Serovar Typhimurium Producing an Extended-Spectrum β-Lactamase. Antimicrobial Agents and Chemotherapy. 48(8). 2808–2815. 35 indexed citations
20.
Pimkin, Maxim, et al.. (2002). Molecular epidemiology of nosocomial CTX-M-producing Klebsiella pneumoniae and Escherichia coli isolates from 21 Russian hospitals. 42. 115. 1 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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