Stephen F. Madden

12.5k citations
164 papers · 8.1k indexed · 1 hit paper · h-index 47
Topics
HER2/EGFR in Cancer Research (24 papers)MicroRNA in disease regulation (15 papers)Pharmacogenetics and Drug Metabolism (14 papers)

In The Last Decade

Stephen F. Madden

160 papers receiving 8.0k citations

Hit Papers

Leukocyte Complexity Predicts Breast Cancer Survival and ...201120262016202120114008001.2k

Peers

Stephen F. Madden
Comparison fields: 5 of 150
  • Molecular Biology 4.8k
  • Oncology 2.2k
  • Immunology 1.5k
  • Cancer Research 1.4k
  • Pulmonary and Respiratory Medicine 1.0k
Replace Bo Yang with:
Bo Yang China
Bob van de Water Netherlands
Linda S. Steelman United States
Patrick Auberger France
Jerry L. Adams United States
Robert H. Weiss United States
Brion W. Murray United States
Haruhiko Sugimura Japan
Takuya Moriya Japan
Probir Chakravarty United Kingdom
Stephen F. Madden relative to Bo Yang China Bo Yang's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Stephen F. Madden

Since Specialization
Citations

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

Fields of papers citing papers by Stephen F. Madden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen F. Madden

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen F. Madden. A scholar is included among the top collaborators of Stephen F. Madden 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 Stephen F. Madden. Stephen F. Madden 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 0
2 0
3 2
4 4
5 3
6 1
7 5
8 27
9 8
10 29
11 9
12 1
13 50
14 14
15 24
16 10
17 21
18 115
19 71
20
Leukocyte Complexity Predicts Breast Cancer Survival and Functionally Regulates Response to Chemotherapybreakdown →
1320

About Stephen F. Madden

Stephen F. Madden is a scholar working on Oncology, Cancer Research and Pharmacology, having authored 164 papers that have together received 8.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (24 papers), MicroRNA in disease regulation (15 papers) and Pharmacogenetics and Drug Metabolism (14 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (2.2k citations) and Molecular Biology (4.8k citations). Stephen F. Madden has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Frank J. Rauscher, William M. Gallagher, Vikas P. Sukhatme, John Crown, Karin Jirström, Donal J. Brennan, Elton Rexhepaj, Munir Pirmohamed, Brian Ruffell and Hope S. Rugo. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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