Paul D. Schnier

4.4k citations
47 papers · 3.8k indexed · h-index 32
Topics
Mass Spectrometry Techniques and Applications (30 papers)Analytical Chemistry and Chromatography (16 papers)Protein Structure and Dynamics (8 papers)
Partner nations
United StatesCanadaJapan

In The Last Decade

Paul D. Schnier

47 papers receiving 3.7k citations

Peers

Paul D. Schnier
Comparison fields: 5 of 109
  • Spectroscopy 2.6k
  • Molecular Biology 1.6k
  • Atomic and Molecular Physics, and Optics 521
  • Computational Mechanics 422
  • Cell Biology 295
Replace Kevin Pagel with:
Kevin Pagel Germany
Yury O. Tsybin Switzerland
Michael C. Fitzgerald United States
Kathrin Breuker Austria
Valérie Gabelica France
Don L. Rempel United States
Jingxi Pan Canada
Joanna M. Hunter United States
Christian Bleiholder United States
Andrew Lemoff United States
Paul D. Schnier relative to Kevin Pagel Germany Kevin Pagel's profile →
Citations per field
00.5×1.5×2.2×
Kevin Pagel · 1×
Citations per year

Countries citing papers authored by Paul D. Schnier

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. Schnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D. Schnier. 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 Paul D. Schnier. The network helps show where Paul D. Schnier may publish in the future.

Co-authorship network of co-authors of Paul D. Schnier

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Schnier. A scholar is included among the top collaborators of Paul D. Schnier 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 Paul D. Schnier. Paul D. Schnier 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
#WorkIndexed citations
1 7
2 69
3 10
4 48
5 188
6 24
7 3
8 35
9 5
10 3
11 4
12 17
13 26
14 5
15 138
16 127
17 174
18 365
19 280
20 227

About Paul D. Schnier

Paul D. Schnier is a scholar working on Spectroscopy, Cell Biology and Molecular Biology, having authored 47 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (30 papers), Analytical Chemistry and Chromatography (16 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Spectroscopy (2.6k citations), Molecular Biology (1.6k citations) and Computational Mechanics (422 citations). Paul D. Schnier has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Evan R. Williams, William D. Price, D. Groß, John S. Klassen, Rebecca A. Jockusch, Eric F. Strittmatter, Elena N. Kitova, Dhanashri Bagal, Amr El-Hawiet and Leszek Poppe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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