Nina C. Bach

29 total papers · 1.0k total citations
19 papers, 517 citations indexed

About

Nina C. Bach is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Nina C. Bach has authored 19 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Organic Chemistry. Recurrent topics in Nina C. Bach's work include Endoplasmic Reticulum Stress and Disease (5 papers), Cancer Research and Treatments (3 papers) and Click Chemistry and Applications (3 papers). Nina C. Bach is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (5 papers), Cancer Research and Treatments (3 papers) and Click Chemistry and Applications (3 papers). Nina C. Bach collaborates with scholars based in Germany, Switzerland and United States. Nina C. Bach's co-authors include Stephan A. Sieber, Jeannette Winter, Jirka Peschek, Adrian Drazic, Yan Le, Thomas Kriehuber, Haruko Miura, Johannes Kreuzer, Johannes Büchner and Martin Haslbeck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Nina C. Bach

17 papers receiving 516 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 C. Bach 327 91 64 44 43 19 517
Patrick Yip 442 1.4× 130 1.4× 42 0.7× 39 0.9× 47 1.1× 18 598
Tsutomu Tsuruoka 311 1.0× 109 1.2× 75 1.2× 31 0.7× 59 1.4× 24 540
Elke Brosens 371 1.1× 49 0.5× 49 0.8× 52 1.2× 26 0.6× 14 502
David J. Wasilko 272 0.8× 51 0.6× 69 1.1× 76 1.7× 73 1.7× 11 475
Andreas Schmitt 339 1.0× 185 2.0× 66 1.0× 24 0.5× 31 0.7× 26 616
Srikannathasan Velupillai 371 1.1× 145 1.6× 43 0.7× 123 2.8× 19 0.4× 14 615
David C. Watson 405 1.2× 78 0.9× 26 0.4× 33 0.8× 34 0.8× 16 550
Dennis M. Burns 406 1.2× 72 0.8× 53 0.8× 31 0.7× 26 0.6× 19 584
Heinrich Delbrück 280 0.9× 69 0.8× 50 0.8× 43 1.0× 16 0.4× 14 507
Jacob Lesniak 352 1.1× 102 1.1× 49 0.8× 13 0.3× 46 1.1× 8 552

Countries citing papers authored by Nina C. Bach

Since Specialization
Citations

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

Fields of papers citing papers by Nina C. Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina C. Bach

This figure shows the co-authorship network connecting the top 25 collaborators of Nina C. Bach. A scholar is included among the top collaborators of Nina C. Bach 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 C. Bach. Nina C. Bach 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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