David W. Speicher

28.7k total citations · 7 hit papers
278 papers, 19.3k citations indexed

About

David W. Speicher is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, David W. Speicher has authored 278 papers receiving a total of 19.3k indexed citations (citations by other indexed papers that have themselves been cited), including 187 papers in Molecular Biology, 69 papers in Physiology and 60 papers in Spectroscopy. Recurrent topics in David W. Speicher's work include Erythrocyte Function and Pathophysiology (62 papers), Advanced Proteomics Techniques and Applications (56 papers) and Mass Spectrometry Techniques and Applications (39 papers). David W. Speicher is often cited by papers focused on Erythrocyte Function and Pathophysiology (62 papers), Advanced Proteomics Techniques and Applications (56 papers) and Mass Spectrometry Techniques and Applications (39 papers). David W. Speicher collaborates with scholars based in United States, Germany and Russia. David W. Speicher's co-authors include Hsin‐Yao Tang, Robert E. Handschumacher, Matthew W. Harding, Dennis E. Discher, Sandra L. Harper, Jeffrey S. Rice, Rhett J Drugge, Vincent T. Marchesi, V. Marchesi and Frank J. Rauscher and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David W. Speicher

275 papers receiving 18.9k citations

Hit Papers

Nuclear Lamin-A Scales wi... 1984 2026 1998 2012 2013 1984 2008 1996 2015 400 800 1.2k

Peers

David W. Speicher
Comparison fields: 5 of 163
  • Molecular Biology 12.6k
  • Cell Biology 3.6k
  • Physiology 3.4k
  • Oncology 2.3k
  • Immunology 2.0k
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Citations per field, relative to David W. Speicher
David W. Speicher · 1×
Citations per year, relative to David W. Speicher
David W. Speicher · 1×

Countries citing papers authored by David W. Speicher

Since Specialization
Citations

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

Fields of papers citing papers by David W. Speicher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Speicher

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Speicher. A scholar is included among the top collaborators of David W. Speicher 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 David W. Speicher. David W. Speicher 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 17
2 1
3 3
4 18
5 28
6 57
7 51
8 24
9 25
10 42
11 33
12 116
13 142
14 15
15
Nuclear Lamin-A Scales with Tissue Stiffness and Enhances Matrix-Directed Differentiation breakdown →
1498
16
SP11 Reducing Sample Complexity for Proteomics
1
17
Forced unfolding modulated by disulfide bonds in the immunoglobulin domains of a cell adhesion molecule
1
18 5
19 44
20 58

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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