Stephen C. Graham

114 papers receiving 4.3k citations

Peers

Stephen C. Graham
Comparison fields: 5 of 138
  • Virology 376
  • Polymers and Plastics 645
  • Cell Biology 524
  • Immunology 634
  • Epidemiology 747
Replace Susumu Uchiyama with:
Susumu Uchiyama Japan
В. В. Волков Russia
Florian Μ. Wurm Switzerland
Christopher M. Yip Canada
Patrick Schultz France
Eric Hanssen Australia
David A. Christian United States
Peter Hinterdorfer Austria
Alasdair W. McDowall United States
Roland Brock Netherlands
Stephen C. Graham relative to Susumu Uchiyama Japan Susumu Uchiyama's profile →
Citations per field
00.5×7.4×
Susumu Uchiyama · 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 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998303
2 2014172
3 2008165
4 1996162
5 2015154
6 2011149
7 1993140
8 2008132
9 1975125
10 2011114
11 2015111
12 199283
13 201182
14 201082
15 199180
16 201180
17 201874
18 201172
19 201371
20 200867

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 116 papers that have together received 4.4k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (15 papers), Cellular transport and secretion (13 papers), Herpesvirus Infections and Treatments (13 papers), Conducting polymers and applications (13 papers), Organic Light-Emitting Diodes Research (11 papers), Poxvirus research and outbreaks (8 papers), Cytomegalovirus and herpesvirus research (7 papers) and Toxoplasma gondii Research Studies (7 papers). The work is most often cited by research in Virology (376 citations), Polymers and Plastics (645 citations), Cell Biology (524 citations), Immunology (634 citations) and Epidemiology (747 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, Jonathan M. Grimes, Nir Tessler, Colin M. Crump, Mohammad W. Bahar, David J. Owen, John Homer, Janet E. Deane and Stefan Höning. 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.

Explore authors with similar magnitude of impact