Patrick D. Shipman

51 papers receiving 1.0k citations

Peers

Patrick D. Shipman
Comparison fields: 5 of 136
  • Computational Mechanics 330
  • Structural Biology 13
  • Materials Chemistry 308
  • Cell Biology 87
  • Virology 24
Replace Daniel J. Ehrlich with:
Daniel J. Ehrlich United States
Toshio Mogi Japan
Daniel Koller United States
Michael J. Taormina United States
David Schaefer United States
Mark Schofield United States
Hans Jörg Limbach Germany
Yinmei Li China
Akitoshi Okino Japan
Jan Kierfeld Germany
Patrick D. Shipman relative to Daniel J. Ehrlich United States Daniel J. Ehrlich's profile →
Citations per field
00.5×12×
Daniel J. Ehrlich · 1×
Citations per year

Countries citing papers authored by Patrick D. Shipman

Since Specialization
Citations

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

Fields of papers citing papers by Patrick D. Shipman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010112
2 200782
3 201166
4 201166
5 201760
6 200459
7 201955
8 201550
9 202146
10 200542
11 201440
12 202032
13 200031
14 200829
15 201228
16 200527
17 201527
18 201422
19 202119
20 202014

About Patrick D. Shipman

Patrick D. Shipman is a scholar working on Molecular Biology, Materials Chemistry, Plant Science, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (9 papers), Ion-surface interactions and analysis (9 papers), Diamond and Carbon-based Materials Research (7 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Coagulation and Flocculation Studies (5 papers), Force Microscopy Techniques and Applications (5 papers) and nanoparticles nucleation surface interactions (4 papers). The work is most often cited by research in Computational Mechanics (330 citations), Structural Biology (13 citations), Materials Chemistry (308 citations), Cell Biology (87 citations) and Virology (24 citations). Patrick D. Shipman has collaborated with scholars based in United States, Germany and Türkiye. Frequent co-authors include R. Mark Bradley, Alan C. Newell, Richard G. Finke, Francis C. Motta, Saim Özkâr, Christopher B. Whitehead, Benjamin F. Miller, Alain Goriely, Karyn L. Hamilton and Fredrick F. Peelor. Their work appears in journals such as Physical review. E, Journal of Theoretical Biology, Physica D Nonlinear Phenomena, The Journal of Physical Chemistry C and Physical Review B.

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.

Explore authors with similar magnitude of impact