E Neil

45 papers receiving 1.2k citations

Peers

E Neil
Comparison fields: 5 of 112
  • Endocrine and Autonomic Systems 672
  • Cardiology and Cardiovascular Medicine 539
  • Physiology 338
  • Critical Care and Intensive Care Medicine 56
  • Cellular and Molecular Neuroscience 211
Replace C. Kidd with:
C. Kidd United Kingdom
F. L. Eldridge United States
Yoshiaki Hayashida Japan
H. P. Koepchen Germany
V. S. Bishop United States
T. N. Thrasher United States
I. Ninomiya Japan
Frederick F. Kao United States
C Heymans Belgium
Ewa Szczepańska‐Sadowska Poland
E Neil relative to C. Kidd United Kingdom C. Kidd's profile →
Citations per field
00.5×2×4×5.6×
C. Kidd · 1×
Citations per year

Countries citing papers authored by E Neil

Since Specialization
Citations

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

Fields of papers citing papers by E Neil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside E Neil, 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 E Neil Line = papers co-authored together E Neil 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 1952210
2 1955119
3 1951116
4 197196
5 197195
6 196091
7 195286
8
An investigation of problems of acid base equilibrium in hypothermia.
195584
9 195274
10 195263
11 196362
12
The influence of the sympathetic innervation of the carotid bifurcation on chemoceptor and baroceptor activity in the cat.
195257
13 195245
14 195942
15
Effects of sinus and aortic nerve efferents on arterial chemoreceptor function.
196939
16 197227
17 195126
18 196124
19 195123
20 195122

About E Neil

E Neil is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Nephrology and Genetics, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (18 papers), Heart Rate Variability and Autonomic Control (11 papers), Sleep and Wakefulness Research (6 papers), High Altitude and Hypoxia (5 papers), Renal function and acid-base balance (5 papers), Hemoglobin structure and function (4 papers), Thermal Regulation in Medicine (3 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (672 citations), Cardiology and Cardiovascular Medicine (539 citations), Physiology (338 citations), Critical Care and Intensive Care Medicine (56 citations) and Cellular and Molecular Neuroscience (211 citations). E Neil has collaborated with scholars based in United States, United Kingdom and Tanzania. Frequent co-authors include R. G. O’Regan, S. Landgren, H.W. Ead, N Joels, Yngve Zotterman, A. Schweitzer, M. de Burgh Daly, Richard A. Kenney, A. Jarisch and Helen N. Duke. Their work appears in journals such as The Journal of Physiology, Postgraduate Medical Journal, Circulation Research, Acta Oto-Laryngologica and Annals of Otology Rhinology & Laryngology.

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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