Chris Hillier

1.4k citations
48 papers · 1.1k · h-index 17

Impact in

Papers in

Chris Hillier

47 papers receiving 1.1k citations

Peers

Chris Hillier
Comparison fields: 5 of 100
  • Equine 30
  • Cardiology and Cardiovascular Medicine 409
  • Endocrinology, Diabetes and Metabolism 251
  • Biochemistry 75
  • Physiology 244
Replace Carmen Brás‐Silva with:
Carmen Brás‐Silva Portugal
Bess A. Marshall United States
Sara M. Reyna United States
Chiara Chiellini Italy
Robin Altman United States
Valérie Urbach France
Madhu V. Singh United States
Elisa Merli Italy
Antine E. Stenbit United States
Stuart M. Raleigh United Kingdom
Chris Hillier relative to Carmen Brás‐Silva Portugal Carmen Brás‐Silva's profile →
Citations per field
00.5×7.5×
Carmen Brás‐Silva · 1×
Citations per year

Countries citing papers authored by Chris Hillier

Since Specialization
Citations

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

Fields of papers citing papers by Chris Hillier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009107
2 2001103
3 2001102
4 200477
5 200177
6 200874
7 200151
8 200748
9 200139
10 200131
11 199530
12 200427
13 200824
14 200423
15
Functional characterization of alpha1-adrenoceptor subtypes in human subcutaneous resistance arteries.
200119
16 200018
17 200117
18 200815
19 199914
20 200713

About Chris Hillier

Chris Hillier is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Molecular Biology, Animal Science and Zoology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (16 papers), Cardiovascular Health and Disease Prevention (10 papers), Receptor Mechanisms and Signaling (9 papers), Pharmacological Effects and Assays (8 papers), Neuropeptides and Animal Physiology (6 papers), Heart Failure Treatment and Management (4 papers), Pregnancy and preeclampsia studies (4 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Equine (30 citations), Cardiology and Cardiovascular Medicine (409 citations), Endocrinology, Diabetes and Metabolism (251 citations), Biochemistry (75 citations) and Physiology (244 citations). Chris Hillier has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include John J.V. McMurray, Mark C. Petrie, Fiona Johnston, Paul Coats, John Connell, Joanna Skommer, Donald Włodkowic, Zbigniew Darżynkiewicz, Allan MacDonald and J.E. McDonald. Their work appears in journals such as Clinical Science, Circulation, British Journal of Pharmacology, European Journal of Pharmacology and Diabetologia.

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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