Stephen C. Graham

112 papers receiving 4.2k citations

Peers

Stephen C. Graham
Comparison fields: 5 of 135
  • Virology 379
  • Polymers and Plastics 646
  • Cell Biology 522
  • Immunology 633
  • Fluid Flow and Transfer Processes 149
Replace David J. Osguthorpe with:
David J. Osguthorpe United Kingdom
Susumu Uchiyama Japan
В. В. Волков Russia
Christopher M. Yip Canada
Daniel A. Mitchell United Kingdom
Kouhei Tsumoto Japan
Florian Μ. Wurm Switzerland
Patrick Schultz France
T. Taniguchi Japan
David A. Christian United States
Stephen C. Graham relative to David J. Osguthorpe United Kingdom David J. Osguthorpe's profile →
Citations per field
00.5×6.0×
David J. Osguthorpe · 1×
Citations per year

Countries citing papers authored by Stephen C. Graham

Since Specialization
Citations

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

Fields of papers citing papers by Stephen C. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. Graham. 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 Stephen C. Graham. The network helps show where Stephen C. Graham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998303
2 2014165
3 2008162
4 1996160
5 2011149
6 2015149
7 1993140
8 2008131
9 1975125
10 2011110
11 2015105
12 199283
13 201081
14 201180
15 199180
16 201177
17 201171
18 201370
19 200867
20 201867

About Stephen C. Graham

Stephen C. Graham is a scholar working on Molecular Biology, Epidemiology, Electrical and Electronic Engineering, Polymers and Plastics and Cell Biology, having authored 113 papers that have together received 4.3k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (15 papers), Conducting polymers and applications (13 papers), Herpesvirus Infections and Treatments (13 papers), Cellular transport and secretion (13 papers), Organic Light-Emitting Diodes Research (11 papers), Cytomegalovirus and herpesvirus research (8 papers), Poxvirus research and outbreaks (8 papers) and Toxoplasma gondii Research Studies (7 papers). The work is most often cited by research in Virology (379 citations), Polymers and Plastics (646 citations), Cell Biology (522 citations), Immunology (633 citations) and Fluid Flow and Transfer Processes (149 citations). Stephen C. Graham has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Richard H. Friend, David I. Stuart, John C. de Mello, Jonathan M. Grimes, Nir Tessler, Colin M. Crump, Mohammad W. Bahar, David J. Owen, John Homer and Janet E. Deane. Their work appears in journals such as Synthetic Metals, PLoS Pathogens, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Journal of Virology.

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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