Marina Chekulaeva

4.2k citations
23 papers · 3.1k indexed · 2 hit papers · h-index 17

Marina Chekulaeva

22 papers receiving 3.1k citations

Hit Papers

Translation of CircRNAs1.4k20092026201420204008001.2k

Peers

Marina Chekulaeva
Comparison fields: 5 of 101
  • Cancer Research 1.8k
  • Molecular Biology 2.9k
  • Aging 22
  • Immunology 139
  • Genetics 48
Replace Zhuo Fang with:
Zhuo Fang Germany
Philipp Berninger Switzerland
Erika Lasda United States
Isabelle Behm‐Ansmant France
Haidi Zhang China
J. Mauro Calabrese United States
Gabriel A. Pratt United States
Stefan L. Ameres Austria
Kevin Czaplinski United States
Marina Chekulaeva relative to Zhuo Fang Germany Zhuo Fang's profile →
Citations per field
00.5×5.1×
Zhuo Fang · 1×
Citations per year

Countries citing papers authored by Marina Chekulaeva

Since Specialization
Citations

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

Fields of papers citing papers by Marina Chekulaeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marina Chekulaeva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marina Chekulaeva Line = papers co-authored together Marina Chekulaeva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202413
3 202323
4 202336
5 202235
6 20217
7 202125
8 201912
9 201833
10 2017146
11
Translation of CircRNAsbreakdown →
20171399
12 201621
13 201621
14 2011279
15 201028
16 2010114
17 200961
18
Mechanisms of miRNA-mediated post-transcriptional regulation in animal cellsbreakdown →
2009564
19 2006175
20 20045

About Marina Chekulaeva

Marina Chekulaeva is a scholar working on Cancer Research, Molecular Biology and Paleontology, having authored 23 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (19 papers), RNA modifications and cancer (13 papers), RNA and protein synthesis mechanisms (12 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (3 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Viral Infections and Immunology Research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (2.9k citations) and Aging (22 citations). Marina Chekulaeva has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Witold Filipowicz, Nikolaus Rajewsky, Markus Landthaler, Nagarjuna Reddy Pamudurti, Mor Hanan, Marvin Jens, Daniel Pérez-Hernández, Shlomo Shenzis, Osnat Bartok and Evelyn Ramberger. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, RNA, Current Biology and Nature Neuroscience.

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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