Paul Webb

16.8k citations
159 papers · 12.5k indexed · 3 hit papers · h-index 57

Paul Webb

157 papers receiving 12.2k citations

Hit Papers

Estrogen receptor pathways to AP-1676199520262005201550010001.5k

Peers

Paul Webb
Comparison fields: 5 of 172
  • Genetics 6.3k
  • Endocrinology, Diabetes and Metabolism 3.1k
  • Reproductive Medicine 727
  • Molecular Biology 5.8k
  • Behavioral Neuroscience 285
Replace Thomas S. Scanlan with:
Thomas S. Scanlan United States
Eric R. Prossnitz United States
Kazuhiko Umesono Japan
Olli A. Jänne Finland
Masami Muramatsu Japan
E R Simpson United States
Paul T. van der Saag Netherlands
Hinrich Gronemeyer France
Jorma J. Palvimo Finland
E. Brad Thompson United States
Paul Webb relative to Thomas S. Scanlan United States Thomas S. Scanlan's profile →
Citations per field
00.5×1.6×
Thomas S. Scanlan · 1×
Citations per year

Countries citing papers authored by Paul Webb

Since Specialization
Citations

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

Fields of papers citing papers by Paul Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Webb. 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 Paul Webb. The network helps show where Paul Webb may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201720
2 20156
3 201431
4 201439
5 201442
6 201417
7 2013305
8 201254
9 201281
10 201222
11 201184
12 201088
13
Los partidos políticos como organizadores de campañas
20041
14 200191
15 200028
16 2000121
17 1999311
18 199943
19
The California Marine Mammal Research Program of the Acoustic Thermometry of Ocean Climate Experiment: Potential Effects of Low Frequency Sound on Distribution and Behavior of Marine Mammals
19981
20 199410

About Paul Webb

Paul Webb is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 159 papers that have together received 12.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (73 papers), Thyroid Disorders and Treatments (36 papers), Retinoids in leukemia and cellular processes (29 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Peroxisome Proliferator-Activated Receptors (14 papers), Hormonal Regulation and Hypertension (13 papers), Marine animal studies overview (12 papers) and Receptor Mechanisms and Signaling (12 papers). The work is most often cited by research in Genetics (6.3k citations), Endocrinology, Diabetes and Metabolism (3.1k citations) and Reproductive Medicine (727 citations). Paul Webb has collaborated with scholars based in United States, Brazil and Sweden. Frequent co-authors include Peter J. Kushner, Thomas S. Scanlan, John D. Baxter, Rosalie M. Uht, Jan-Ακε Gustafsson, Stefan Nilsson, Gabriela N. Lopez, George G. J. M. Kuiper, Phuong Nguyen and Geoffrey L. Greene. Their work appears in journals such as Molecular Endocrinology, PLoS ONE, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Steroid Biochemistry and Molecular Biology.

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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