Frank Neumann

2.4k total citations
22 papers, 1.8k citations indexed

About

Frank Neumann is a scholar working on Molecular Biology, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Frank Neumann has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Human-Computer Interaction and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Frank Neumann's work include Genomics and Chromatin Dynamics (11 papers), Nuclear Structure and Function (6 papers) and DNA Repair Mechanisms (5 papers). Frank Neumann is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Nuclear Structure and Function (6 papers) and DNA Repair Mechanisms (5 papers). Frank Neumann collaborates with scholars based in Switzerland, Germany and United States. Frank Neumann's co-authors include Susan M. Gasser, Florence Hediger, Paul Nurse, Angela Taddei, Michaël Unser, Daniel Sage, Griet Van Houwe, Karine Dubrana, Christoph Bauer and Marc R. Gartenberg and has published in prestigious journals such as Cell, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Frank Neumann

21 papers receiving 1.8k citations

Peers

Frank Neumann
Comparison fields: 5 of 120
  • Molecular Biology 1.5k
  • Cell Biology 279
  • Plant Science 241
  • Physiology 150
  • Biophysics 150
Replace Florence Hediger with:
Florence Hediger Switzerland
Graeme Ball United Kingdom
Eva Bártová Czechia
Holger Erfle Germany
Tomomi Tani Japan
Eric R. Griffis United States
U. Serdar Tulu United States
Gilles Charvin France
Takako Koujin Japan
Richard M. Parton United Kingdom
Florence Hediger Switzerland View profile →
Citations per field, relative to Frank Neumann
Frank Neumann · 1×
Citations per year, relative to Frank Neumann
Frank Neumann · 1×

Countries citing papers authored by Frank Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Frank Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Neumann

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

All Works

20 of 20 papers shown
# Work Indexed citations
1
Quasi-random Image Transition and Animation.
0
2 1
3 49
4 3
5 129
6 5
7 11
8 4
9 18
10 289
11 13
12 1
13 353
14 21
15 33
16 215
17 145
18 42
19 247
20 72

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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