A. Hilditch

522 citations
22 papers · 391 · h-index 12

Impact in

Papers in

A. Hilditch

22 papers receiving 352 citations

Peers

A. Hilditch
Comparison fields: 5 of 55
  • Cellular and Molecular Neuroscience 180
  • Cardiology and Cardiovascular Medicine 121
  • Physiology 107
  • Biochemistry 31
  • Molecular Biology 222
Replace Patrizia Angelico with:
Patrizia Angelico Italy
L. Guarneri Italy
C. Böhmann Germany
Andrew J. Bilski United Kingdom
S Nagahama Japan
F.M. Lai United States
Tetsuo MAGARIBUCHI United States
L. -H. Tung Australia
N. Rohm Germany
Hans‐Georg Güllner United States
A. Hilditch relative to Patrizia Angelico Italy Patrizia Angelico's profile →
Citations per field
00.5×1.6×
Patrizia Angelico · 1×
Citations per year

Countries citing papers authored by A. Hilditch

Since Specialization
Citations

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

Fields of papers citing papers by A. Hilditch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198451
2 198548
3 198143
4 198327
5 199524
6 198422
7 198522
8 199421
9
Effects of dopamine DA1-receptor blockade and angiotensin converting enzyme inhibition on the renal actions of fenoldopam in the anaesthetized dog.
199121
10 198716
11 197415
12 198413
13 197811
14 198411
15 198610
16 19799
17 19927
18 19965
19 19895
20 19934

About A. Hilditch

A. Hilditch is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 391 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Renin-Angiotensin System Studies (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Neuropeptides and Animal Physiology (4 papers), Pain Mechanisms and Treatments (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (180 citations), Cardiology and Cardiovascular Medicine (121 citations), Physiology (107 citations), Biochemistry (31 citations) and Molecular Biology (222 citations). A. Hilditch has collaborated with scholars based in United Kingdom. Frequent co-authors include G.M. Drew, Robert J. Naylor, Mark J. Robertson, Gerhard Levy, Christine Förster, Eric T. Whalley, Kenneth L. Clark, Barry C. Ross, David Middlemiss and Sarah L. Dallas. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology, Bioorganic & Medicinal Chemistry Letters, Journal of Cardiovascular Pharmacology and Journal of Pharmacology and Experimental Therapeutics.

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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