Howard Dene

2.7k citations
50 papers · 2.1k · h-index 25

Impact in

Papers in

Howard Dene

50 papers receiving 2.1k citations

Peers

Howard Dene
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 632
  • Cardiology and Cardiovascular Medicine 703
  • Physiology 695
  • Genetics 678
  • Endocrine and Autonomic Systems 105
Replace G. P. Vinson with:
G. P. Vinson United Kingdom
T. Serikawa Japan
Jean‐Marc Elalouf France
Amal K. Mukhopadhyay Germany
Xueying Lin United States
Hirofumi Sokabe Japan
Karine Gauthier France
Chiharu Kimura Japan
Zehava Levy Israel
Amy McCurley United States
Howard Dene relative to G. P. Vinson United Kingdom G. P. Vinson's profile →
Citations per field
00.5×
G. P. Vinson · 1×
Citations per year

Countries citing papers authored by Howard Dene

Since Specialization
Citations

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

Fields of papers citing papers by Howard Dene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985260
2 1989244
3 1998131
4 1994108
5 197790
6 200382
7 199679
8 199476
9 199772
10 199362
11 199756
12 200155
13 197654
14 198153
15 199747
16 199745
17 199445
18 199043
19 198937
20 200034

About Howard Dene

Howard Dene is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (14 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Adipose Tissue and Metabolism (12 papers), Hormonal Regulation and Hypertension (11 papers), Receptor Mechanisms and Signaling (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Hemoglobin structure and function (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (632 citations), Cardiology and Cardiovascular Medicine (703 citations), Physiology (695 citations), Genetics (678 citations) and Endocrine and Autonomic Systems (105 citations). Howard Dene has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include John P. Rapp, Alan Y. Deng, Michael R. Garrett, George T. Cicila, Morris Goodman, A.E. Romero-Herrera, Barbara Hoebee, Michal Pravenec, M. Goodman and William Prychodko. Their work appears in journals such as Mammalian Genome, Journal of Hypertension, Hypertension, Genomics and Journal of Clinical Investigation.

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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