Maria Novatchkova

13.0k citations
85 papers · 7.4k indexed · 3 hit papers · h-index 48
  • Aging top 1%
    • DNA Repair Mechanisms 15
    • Pluripotent Stem Cells Research 11
    • CRISPR and Genetic Engineering 10
    • Genomics and Chromatin Dynamics 9
    • RNA Research and Splicing 9
    • Ubiquitin and proteasome pathways 7
    • Microtubule and mitosis dynamics 7
  • Immunology top 2%
    • Chromosomal and Genetic Variations 8

Maria Novatchkova

85 papers receiving 7.3k citations

Hit Papers

Human blastoids model blastocyst development and implanta...2942019202620212023100200300400500

Peers

Maria Novatchkova
Comparison fields: 5 of 132
  • Aging 199
  • Molecular Biology 5.4k
  • Cell Biology 1.0k
  • Immunology 1.2k
  • Plant Science 1.4k
Replace Ting Xie with:
Ting Xie China
Shawn M. Burgess United States
Paul G. Giresi United States
Jeffrey J. Delrow United States
John W. Tamkun United States
Susan M. Parkhurst United States
Scot A. Wolfe United States
Shuichi Yamada Japan
Jason X. Cheng United States
John Abrams United States
Maria Novatchkova relative to Ting Xie China Ting Xie's profile →
Citations per field
00.5×2.8×
Ting Xie · 1×
Citations per year

Countries citing papers authored by Maria Novatchkova

Since Specialization
Citations

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

Fields of papers citing papers by Maria Novatchkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Maria Novatchkova, 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 Maria Novatchkova Line = papers co-authored together Maria Novatchkova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202411
3 202333
4 202315
5 202351
6 202315
7 202299
8 202216
9 202240
10 202127
11
Cardioids reveal self-organizing principles of human cardiogenesisbreakdown →
2021321
12 202015
13 201715
14 2015174
15 2012176
16 2009247
17 200768
18 2007153
19 2006101
20 200213

About Maria Novatchkova

Maria Novatchkova is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 85 papers that have together received 7.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (15 papers), Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (10 papers), Genomics and Chromatin Dynamics (9 papers), RNA Research and Splicing (9 papers), Chromosomal and Genetic Variations (8 papers), Microtubule and mitosis dynamics (7 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Aging (199 citations), Molecular Biology (5.4k citations) and Cell Biology (1.0k citations). Maria Novatchkova has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Frank Eisenhaber, Juergen A. Knoblich, Andreas Bachmair, Meinrad Busslinger, Josef Loidl, Ralph A. Neumüller, Raphaël Mercier, Sylvie Jolivet, Karl Mechtler and Nicole Froger. Their work appears in journals such as Nature, Science and Cell.

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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