Nina Schulze

36 total papers · 1.0k total citations
17 papers, 690 citations indexed

About

Nina Schulze is a scholar working on Cell Biology, Molecular Biology and Epidemiology. According to data from OpenAlex, Nina Schulze has authored 17 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cell Biology, 11 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Nina Schulze's work include Cellular transport and secretion (5 papers), Autophagy in Disease and Therapy (4 papers) and Cellular Mechanics and Interactions (3 papers). Nina Schulze is often cited by papers focused on Cellular transport and secretion (5 papers), Autophagy in Disease and Therapy (4 papers) and Cellular Mechanics and Interactions (3 papers). Nina Schulze collaborates with scholars based in Germany, United States and Brazil. Nina Schulze's co-authors include Hemmo Meyer, Chrisovalantis Papadopoulos, Khalid Arhzaouy, Sven Fengler, Conrad C. Weihl, Michael Ehrmann, Monika Bug, Philipp Kirchner, Vanda Lux and Matthias Epple and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Molecular Cell.

In The Last Decade

Nina Schulze

17 papers receiving 688 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 Schulze 340 271 213 73 67 17 690
Ayuko Sakane 364 1.1× 339 1.3× 109 0.5× 148 2.0× 76 1.1× 25 693
Hisae Kikuchi 491 1.4× 125 0.5× 250 1.2× 83 1.1× 20 0.3× 15 734
Masatsune Tsujioka 346 1.0× 342 1.3× 228 1.1× 54 0.7× 91 1.4× 24 709
Dhevahi Niranjan 219 0.6× 149 0.5× 285 1.3× 77 1.1× 24 0.4× 14 610
Diego Morone 212 0.6× 206 0.8× 212 1.0× 60 0.8× 75 1.1× 23 685
Stine Lauritzen Sønder 509 1.5× 235 0.9× 72 0.3× 51 0.7× 46 0.7× 17 697
Yuuki Fujiwara 405 1.2× 114 0.4× 319 1.5× 67 0.9× 13 0.2× 24 667
Claudia A. Doege 490 1.4× 145 0.5× 72 0.3× 64 0.9× 24 0.4× 22 775
Pasquale D’Acunzo 544 1.6× 68 0.3× 276 1.3× 72 1.0× 25 0.4× 16 744
Richard I. Tuxworth 316 0.9× 432 1.6× 102 0.5× 265 3.6× 34 0.5× 19 740

Countries citing papers authored by Nina Schulze

Since Specialization
Citations

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

Fields of papers citing papers by Nina Schulze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Schulze

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