Pamela A. Williams

5.1k citations
49 papers · 3.9k indexed · 3 hit papers · h-index 27

Pamela A. Williams

48 papers receiving 3.8k citations

Hit Papers

Crystal Structures of Human Cytochrome P450 3A4 Bound to ...6542000202620082017200400600

Peers

Pamela A. Williams
Comparison fields: 5 of 147
  • Pharmacology 1.5k
  • Computational Theory and Mathematics 771
  • Structural Biology 44
  • Spectroscopy 444
  • Inorganic Chemistry 362
Replace Harren Jhoti with:
Harren Jhoti United Kingdom
William M. Atkins United States
Dijana Matak‐Vinković United Kingdom
C.D. Stout United States
Mark A. White United States
Lucy Waskell United States
Qinghai Zhang United States
Irina F. Sevrioukova United States
Michał Rostkowski Poland
Akiko Itai Japan
Pamela A. Williams relative to Harren Jhoti United Kingdom Harren Jhoti's profile →
Citations per field
00.5×1.5×2.2×
Harren Jhoti · 1×
Citations per year

Countries citing papers authored by Pamela A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Pamela A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela A. Williams. 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 Pamela A. Williams. The network helps show where Pamela A. Williams may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202016
3 201932
4 201962
5 201853
6 201757
7 2014202
8 201285
9
Crystal Structures of Human Cytochrome P450 3A4 Bound to Metyrapone and Progesteronebreakdown →
2004654
10 200353
11 200323
12
Crystal structure of human cytochrome P450 2C9 with bound warfarinbreakdown →
2003663
13 200089
14 200043
15
Mammalian Microsomal Cytochrome P450 Monooxygenasebreakdown →
2000591
16 19992
17 1999105
18 199664
19 199629
20 199585

About Pamela A. Williams

Pamela A. Williams is a scholar working on Structural Biology, Pharmacology and Cell Biology, having authored 49 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Enzyme Structure and Function (7 papers), Photosynthetic Processes and Mechanisms (7 papers), Porphyrin Metabolism and Disorders (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Hemoglobin structure and function (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Electrochemical sensors and biosensors (3 papers). The work is most often cited by research in Pharmacology (1.5k citations), Computational Theory and Mathematics (771 citations) and Structural Biology (44 citations). Pamela A. Williams has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include José Cosme, Harren Jhoti, Alison Ward, Dijana Matak‐Vinković, Hayley C. Angove, Duncan E. McRee, Vandana Sridhar, Eric F. Johnson, Philip J. Day and Ian J. Tickle. 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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