Nina Schmitt

8 total papers · 979 total citations
6 papers, 468 citations indexed

About

Nina Schmitt is a scholar working on Molecular Biology, Plant Science and Neurology. According to data from OpenAlex, Nina Schmitt has authored 6 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Neurology. Recurrent topics in Nina Schmitt's work include RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (2 papers) and Chromosomal and Genetic Variations (2 papers). Nina Schmitt is often cited by papers focused on RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (2 papers) and Chromosomal and Genetic Variations (2 papers). Nina Schmitt collaborates with scholars based in Germany, Israel and United States. Nina Schmitt's co-authors include Ingrid Grummt, Doron Ginsberg, Christine Mayer, Andrea Schäfer, Urs Hoffmann‐Rohrer, Damir Krunic, Petra Boukamp, Karin M. Greulich‐Bode, Benedikt Volk and Ralf Peter Meyer and has published in prestigious journals such as Molecular Cell, Journal of Pharmacology and Experimental Therapeutics and International Journal of Cancer.

In The Last Decade

Nina Schmitt

6 papers receiving 462 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Schmitt 418 211 48 27 24 6 468
Krishnan Ramanujan 388 0.9× 284 1.3× 38 0.8× 11 0.4× 17 0.7× 8 506
Bryony Graham 439 1.1× 224 1.1× 58 1.2× 46 1.7× 13 0.5× 7 477
Raquel Boqué-Sastre 393 0.9× 157 0.7× 78 1.6× 26 1.0× 18 0.8× 10 458
Kazuhiro Morishita 431 1.0× 141 0.7× 64 1.3× 32 1.2× 58 2.4× 9 517
Inês Pinheiro 425 1.0× 84 0.4× 82 1.7× 37 1.4× 22 0.9× 6 487
Ling Xie 373 0.9× 267 1.3× 51 1.1× 16 0.6× 11 0.5× 8 507
Maya Donyo 394 0.9× 104 0.5× 36 0.8× 28 1.0× 9 0.4× 9 472
Kejia Zhang 427 1.0× 163 0.8× 22 0.5× 13 0.5× 31 1.3× 13 474
Karyn Schmidt 342 0.8× 194 0.9× 14 0.3× 13 0.5× 18 0.8× 11 451
Pauline A. Fujita 432 1.0× 84 0.4× 103 2.1× 55 2.0× 34 1.4× 5 537

Countries citing papers authored by Nina Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Nina Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Schmitt

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

All Works

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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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2026