Stephen P. A. Fodor

18.8k citations
53 papers · 13.4k indexed · 8 hit papers · h-index 37

Stephen P. A. Fodor

52 papers receiving 12.5k citations

Hit Papers

Large-Scale Transcriptional Activity in Chromosomes 21 an...664199120262002201450010001.5k

Peers

Stephen P. A. Fodor
Comparison fields: 5 of 169
  • Molecular Biology 10.3k
  • Biophysics 374
  • Genetics 1.5k
  • Organic Chemistry 1.5k
  • Cancer Research 792
Replace Donald M. Engelman with:
Donald M. Engelman United States
Shankar Balasubramanian United Kingdom
Roger S. Goody Germany
İvet Bahar United States
Masahiro Shirakawa Japan
Elina Ikonen Finland
Ian C. P. Smith Canada
Thomas M. Jovin Germany
David G. Myszka United States
Stephen P. A. Fodor relative to Donald M. Engelman United States Donald M. Engelman's profile →
Citations per field
00.5×1.5×2.2×
Donald M. Engelman · 1×
Citations per year

Countries citing papers authored by Stephen P. A. Fodor

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. A. Fodor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. A. Fodor. 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 P. A. Fodor. The network helps show where Stephen P. A. Fodor may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2015329
2 201468
3 2004317
4 2003420
5 200175
6 1999288
7
High density synthetic oligonucleotide arraysbreakdown →
19991618
8 199893
9 199822
10 199882
11 1996405
12 199459
13
Applications of Combinatorial Technologies to Drug Discovery. 1. Background and Peptide Combinatorial Librariesbreakdown →
1994952
14
Multiplexed biochemical assays with biological chipsbreakdown →
1993530
15 199115
16 19909
17 198923
18 198951
19 1988224
20 198736

About Stephen P. A. Fodor

Stephen P. A. Fodor is a scholar working on Biophysics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 13.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), Photoreceptor and optogenetics research (10 papers), Gene expression and cancer classification (10 papers), RNA and protein synthesis mechanisms (9 papers), Chemical Synthesis and Analysis (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Mass Spectrometry Techniques and Applications (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Molecular Biology (10.3k citations), Biophysics (374 citations) and Genetics (1.5k citations). Stephen P. A. Fodor has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include David J. Lockhart, T Gingeras, Dennis Solas, Robert J. Lipshutz, Mark A. Gallop, Eric M. Gordon, Ronald W. Barrett, William J. Dower, Amy T. Lu and Lubert Stryer. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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