D. H. Will

30 papers receiving 700 citations

Peers

D. H. Will
Comparison fields: 5 of 76
  • Endocrine and Autonomic Systems 178
  • Equine 22
  • Genetics 310
  • Pulmonary and Respiratory Medicine 300
  • Animal Science and Zoology 76
Replace J. A. Will with:
J. A. Will United States
Inder R. Sarda Canada
Tom Huecksteadt United States
Neil C. Olson United States
Andrew T. Mariassy United States
D. K. Detweiler United States
Patricia A. Schenck United States
Wilbur P. McNulty United States
Takero Yoshida Japan
Deborah J. Davenport United States
D. H. Will relative to J. A. Will United States J. A. Will's profile →
Citations per field
00.5×6.1×
J. A. Will · 1×
Citations per year

Countries citing papers authored by D. H. Will

Since Specialization
Citations

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

Fields of papers citing papers by D. H. Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. H. Will. 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 D. H. Will. The network helps show where D. H. Will may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196385
2 197473
3 197366
4 196253
5 197544
6 198840
7
Pulmonary hypertention and right ventricular hypertrophy in catle at high altitude.
196039
8
The Yucatan minature pig as a laboratory animal.
197838
9 197837
10 197935
11 196631
12 197528
13 196225
14 197621
15 197921
16 197917
17 197716
18 198014
19 197514
20 19799

About D. H. Will

D. H. Will is a scholar working on Endocrine and Autonomic Systems, Genetics, Toxicology, Biochemistry and Small Animals, having authored 31 papers that have together received 757 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (18 papers), Neuroscience of respiration and sleep (6 papers), Adipose Tissue and Metabolism (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Cardiac Arrest and Resuscitation (3 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (178 citations), Equine (22 citations), Genetics (310 citations), Pulmonary and Respiratory Medicine (300 citations) and Animal Science and Zoology (76 citations). D. H. Will has collaborated with scholars based in United States. Frequent co-authors include John Τ. Reeves, A. F. Alexander, Ivan F. McMurtry, Robert F. Grover, J. T. Reeves, R. F. Grover, Chris Frith, S.Gilbert Blount, R. F. Grover and JL Hicks. Their work appears in journals such as Journal of Applied Physiology, Experimental Biology and Medicine, Circulation Research, Cellular and Molecular Life Sciences and Advances in experimental medicine and biology.

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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