Gary Stack

2.6k citations
29 papers · 2.0k indexed · 1 hit paper · h-index 18

Gary Stack

29 papers receiving 2.0k citations

Hit Papers

Functional domains of the human estrogen receptor1.1k19872026200020132505007501000

Peers

Gary Stack
Comparison fields: 5 of 99
  • Genetics 1.1k
  • Cellular and Molecular Neuroscience 480
  • Toxicology 60
  • Endocrinology, Diabetes and Metabolism 260
  • Molecular Biology 1.1k
Replace Lisa A. Paige with:
Lisa A. Paige United States
Fuad Fares Israel
Ángel Santos Spain
Yves Mérand Canada
Grazia Chiellini Italy
Atsuhiko Ishida Japan
Chahrzad Montrose‐Rafizadeh United States
D. Philibert France
Günter Neef Germany
Norio Kaneda Japan
Gary Stack relative to Lisa A. Paige United States Lisa A. Paige's profile →
Citations per field
00.5×1.5×2.2×
Lisa A. Paige · 1×
Citations per year

Countries citing papers authored by Gary Stack

Since Specialization
Citations

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

Fields of papers citing papers by Gary Stack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201137
2 20109
3 200918
4 200912
5 200818
6 20078
7 200722
8 200711
9 200780
10 200662
11 2006118
12 200622
13 200584
14 20041
15 200311
16 200330
17 1990101
18 19896
19
Functional domains of the human estrogen receptorbreakdown →
19871085
20 198446

About Gary Stack

Gary Stack is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry, Genetics, Molecular Biology and Physiology, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Receptor Mechanisms and Signaling (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Estrogen and related hormone effects (8 papers), Asymmetric Synthesis and Catalysis (6 papers), Effects and risks of endocrine disrupting chemicals (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Synthesis and pharmacology of benzodiazepine derivatives (2 papers). The work is most often cited by research in Genetics (1.1k citations), Cellular and Molecular Neuroscience (480 citations), Toxicology (60 citations), Endocrinology, Diabetes and Metabolism (260 citations) and Molecular Biology (1.1k citations). Gary Stack has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Vijay Kumar, M. Berry, Pierre Chambon, Jack Gorski, Sharon Rosenzweig‐Lipson, Annmarie L. Sabb, Boyd L. Harrison, John Dunlop, James E. Barrett and Terrance H. Andree. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Endocrinology, Organic Process Research & Development, Bioorganic & Medicinal Chemistry Letters and Psychopharmacology.

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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