Daniel Serwas

535 citations
15 papers · 355 · h-index 8

Impact in

    • Advanced Electron Microscopy Techniques and Applications
  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics

Papers in

    • Advanced Electron Microscopy Techniques and Applications 7
    • Cellular transport and secretion 3
    • Microtubule and mitosis dynamics 1

Daniel Serwas

14 papers receiving 351 citations

Peers

Daniel Serwas
Comparison fields: 5 of 39
  • Structural Biology 34
  • Cell Biology 144
  • Genetics 87
  • Molecular Biology 101
  • Cellular and Molecular Neuroscience 12
Replace Kimberley H. Gibson with:
Kimberley H. Gibson Germany
Indrajit Lahiri United States
Gonzalo Alvarez Viar Germany
Andrea Neuhof United States
Stephanie A. Ketcham United States
Nattakan Sukomon United States
M. G. Pyatibratov Russia
S.H.W. Kraatz Switzerland
Veronica Kane Dickson United Kingdom
Nicole Monroe United States
Daniel Serwas relative to Kimberley H. Gibson Germany Kimberley H. Gibson's profile →
Citations per field
00.5×2×2.6×
Kimberley H. Gibson · 1×
Citations per year

Countries citing papers authored by Daniel Serwas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Serwas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020115
2 201964
3 201553
4 201744
5 202238
6 202211
7 201510
8 20259
9 20253
10 20192
11 20202
12 20262
13 20241
14 20261
15 20250

About Daniel Serwas

Daniel Serwas is a scholar working on Structural Biology, Cell Biology, Genetics, Molecular Biology and Nuclear Energy and Engineering, having authored 15 papers that have together received 355 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (7 papers), Cellular transport and secretion (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Photosynthetic Processes and Mechanisms (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Structural Biology (34 citations), Cell Biology (144 citations), Genetics (87 citations), Molecular Biology (101 citations) and Cellular and Molecular Neuroscience (12 citations). Daniel Serwas has collaborated with scholars based in United States and Austria. Frequent co-authors include Alexander Dammermann, David G. Drubin, Ritvik Vasan, Padmini Rangamani, Matthew Akamatsu, Michael A. Ferrin, Karen M. Davies, Máté Pálfy, Cheryl A. Kerfeld and Thomas G. Laughlin. Their work appears in journals such as Nature Methods, The Journal of Cell Biology, eLife, Microscopy and Microanalysis and Biophysical Journal.

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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