Daniel W. Gerlich

15.0k citations
88 papers · 10.1k indexed · 3 hit papers · h-index 51
  • Cell Biology top 0.1%
    • Microtubule and mitosis dynamics 39
    • Cellular transport and secretion 9
  • Biophysics top 0.1%
    • Advanced Fluorescence Microscopy Techniques 16
    • Cell Image Analysis Techniques 14
    • Genomics and Chromatin Dynamics 43
    • RNA Research and Splicing 18
    • Nuclear Structure and Function 12
  • Aging top 2%
    • Chromosomal and Genetic Variations 10

Daniel W. Gerlich

86 papers receiving 10.0k citations

Hit Papers

Organization of Chromatin by Intrinsic and Regulat...7232014202620182022200400600

Peers

Daniel W. Gerlich
Comparison fields: 5 of 151
  • Cell Biology 4.4k
  • Biophysics 1.2k
  • Structural Biology 189
  • Molecular Biology 7.9k
  • Aging 141
Replace Jason R. Swedlow with:
Jason R. Swedlow United Kingdom
Nico Stuurman United States
Yasushi Hiraoka Japan
Rainer Pepperkok Germany
Jan Ellenberg Germany
Niels Galjart Netherlands
Anna Akhmanova Netherlands
Matthias Peter Switzerland
M. Cristina Cardoso Germany
Jason Moffat Canada
Daniel W. Gerlich relative to Jason R. Swedlow United Kingdom Jason R. Swedlow's profile →
Citations per field
00.5×1.5×2.2×
Jason R. Swedlow · 1×
Citations per year

Countries citing papers authored by Daniel W. Gerlich

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Gerlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Gerlich. 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 Daniel W. Gerlich. The network helps show where Daniel W. Gerlich may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20253
3 202324
4 202255
5 20211
6 2017181
7 201770
8 201647
9 201641
10 2015221
11 2014214
12 2013227
13 2011369
14 2011232
15 2007137
16 2006275
17 2006246
18 2004128
19 2002360
20 200039

About Daniel W. Gerlich

Daniel W. Gerlich is a scholar working on Biophysics, Cell Biology, Structural Biology, Molecular Biology and Plant Science, having authored 88 papers that have together received 10.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (43 papers), Microtubule and mitosis dynamics (39 papers), RNA Research and Splicing (18 papers), Advanced Fluorescence Microscopy Techniques (16 papers), Cell Image Analysis Techniques (14 papers), Nuclear Structure and Function (12 papers), Chromosomal and Genetic Variations (10 papers) and Cellular transport and secretion (9 papers). The work is most often cited by research in Cell Biology (4.4k citations), Biophysics (1.2k citations), Structural Biology (189 citations), Molecular Biology (7.9k citations) and Aging (141 citations). Daniel W. Gerlich has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Jan Ellenberg, Claudia Wurzenberger, Julien Guizetti, Jan‐Michael Peters, Roland Eils, Christoph Sommer, Toru Hirota, Birgit Koch, Michael H. A. Schmitz and Patrick Steigemann. Their work appears in journals such as The Journal of Cell Biology, Nature Cell Biology, Cell, Nature and Journal of Cell Science.

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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