G.M. Drew

3.5k citations
75 papers · 2.9k indexed · 1 hit paper · h-index 26

G.M. Drew

75 papers receiving 2.6k citations

Hit Papers

EVIDENCE FOR TWO DISTINCT TYPES OF POSTSYNAPTIC α‐ADRENOC...3681979202619942010100200300

Peers

G.M. Drew
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 155
  • Behavioral Neuroscience 125
  • Physiology 882
  • Anesthesiology and Pain Medicine 121
Replace Gertrude M. Tyce with:
Gertrude M. Tyce United States
Michael T. Piascik United States
Richard A. Gillis United States
G. Hertting Germany
S Z Langer France
Raymond M. Quock United States
E. Muscholl Germany
P.R. Saxena Netherlands
Pascal Bousquet France
Henri Schmitt France
G.M. Drew relative to Gertrude M. Tyce United States Gertrude M. Tyce's profile →
Citations per field
00.5×1.5×2.5×
Gertrude M. Tyce · 1×
Citations per year

Countries citing papers authored by G.M. Drew

Since Specialization
Citations

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

Fields of papers citing papers by G.M. Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200865
2 200714
3 199911
4 19982
5 19987
6 19972
7 19978
8 19965
9 19952
10 199421
11 199323
12 199335
13 19928
14 199266
15 199230
16 199214
17 19925
18 199112
19 19893
20 1979227

About G.M. Drew

G.M. Drew is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology, Biochemistry and Small Animals, having authored 75 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (31 papers), Neuropeptides and Animal Physiology (15 papers), Nitric Oxide and Endothelin Effects (13 papers), Renin-Angiotensin System Studies (13 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Pain Mechanisms and Treatments (11 papers), Eicosanoids and Hypertension Pharmacology (7 papers) and Heart Rate Variability and Autonomic Control (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (155 citations), Behavioral Neuroscience (125 citations), Physiology (882 citations) and Anesthesiology and Pain Medicine (121 citations). G.M. Drew has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include A. Hilditch, Christopher W. Vaughan, A.S. Marriott, Alma J. Gower, Gerhard Levy, Vanessa Mitchell, Arthur W. Duggan, Philip J. Siddall, Derek M. Yellon and Gary F. Baxter. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology, Journal of Cardiovascular Pharmacology, Journal of Pharmacy and Pharmacology and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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