Gene M. Williams

2.0k citations
18 papers · 1.7k indexed · h-index 15
Topics
Pain Mechanisms and Treatments (6 papers)Neurotransmitter Receptor Influence on Behavior (4 papers)Neuropeptides and Animal Physiology (4 papers)
Partner nations
United States

In The Last Decade

Gene M. Williams

18 papers receiving 1.6k citations

Peers

Gene M. Williams
Comparison fields: 5 of 98
  • Physiology 656
  • Molecular Biology 590
  • Cellular and Molecular Neuroscience 452
  • Oncology 336
  • Pulmonary and Respiratory Medicine 230
Replace Donald C. Manning with:
Donald C. Manning United States
Valentina Carozzi Italy
Jiacheng Ma United States
Qing Zeng United States
Albert Chang United States
Masahide Fujita Japan
Anne Hamik United States
Nitin Agarwal Germany
Margaret L. Ramnaraine United States
N Oggioni Italy
Gene M. Williams relative to Donald C. Manning United States Donald C. Manning's profile →
Citations per field
00.5×3.5×
Donald C. Manning · 1×
Citations per year

Countries citing papers authored by Gene M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Gene M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene M. Williams

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 102
2 38
3 25
4 398
5 179
6
Fulvestrant in postmenopausal women with advanced breast cancer.
46
7 38
8 26
9 9
10 62
11 24
12 12
13 68
14 212
15 371
16 25
17 16
18 3

About Gene M. Williams

Gene M. Williams is a scholar working on Equine, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Physiology (656 citations), Cellular and Molecular Neuroscience (452 citations) and Behavioral Neuroscience (47 citations). Gene M. Williams has collaborated with scholars based in United States. Frequent co-authors include Ronald Dubner, M.A. Ruda, Janice L.K. Hylden, Ke Ren, Richard Pazdur, Rajeshwari Sridhara, Brian Booth, Ann T. Farrell, Robert Justice and David E. Morse. Their work appears in journals such as Brain Research, Clinical Cancer Research and Pain.

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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