Nina J. Williams

982 citations
10 papers · 720 indexed · h-index 8
Topics
Neuropeptides and Animal Physiology (3 papers)Chemical Synthesis and Analysis (2 papers)Pesticide Residue Analysis and Safety (2 papers)
Partner nations
United States

In The Last Decade

Nina J. Williams

10 papers receiving 630 citations

Peers

Nina J. Williams
Comparison fields: 5 of 81
  • Molecular Biology 531
  • Cellular and Molecular Neuroscience 141
  • Cardiology and Cardiovascular Medicine 128
  • Genetics 85
  • Pharmacology 84
Replace J. PLUSCEC with:
J. PLUSCEC United States
E. R. WEAVER Malaysia
Gary S. Bild United States
C.G. Huggins United States
Margaret E. Chovaniec United States
Morita Iwami Japan
Tadashi Teshima Japan
Hazel R. Evans United Kingdom
W. Gielen Germany
Claus J. Schmitges United States
Nina J. Williams relative to J. PLUSCEC United States J. PLUSCEC's profile →
Citations per field
00.5×1.5×
J. PLUSCEC · 1×
Citations per year

Countries citing papers authored by Nina J. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Nina J. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina J. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Nina J. Williams. A scholar is included among the top collaborators of Nina J. Williams 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 Nina J. Williams. Nina J. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 76
2 389
3 11
4 72
5 40
6 65
7 40
8 4
9 7
10 16

About Nina J. Williams

Nina J. Williams is a scholar working on Biochemistry, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 720 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Chemical Synthesis and Analysis (2 papers) and Pesticide Residue Analysis and Safety (2 papers). The work is most often cited by research in Microbiology (50 citations), Cellular and Molecular Neuroscience (141 citations) and Molecular Biology (531 citations). Nina J. Williams has collaborated with scholars based in United States. Frequent co-authors include Miguel A. Ondetti, J. PLUSCEC, Emily F. Sabo, Octavian Kocy, E. R. WEAVER, Miklos Bodanszky, John T. Sheehan, Seymour D. Levine, David W. Cushman and H.S. Cheung. Their work appears in journals such as Journal of the American Chemical Society, Biochemistry and Journal of Medicinal Chemistry.

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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