Susan E. Luff

1.0k citations
33 papers · 904 · h-index 18

Impact in

Papers in

Susan E. Luff

33 papers receiving 856 citations

Peers

Susan E. Luff
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 258
  • Endocrine and Autonomic Systems 73
  • Sensory Systems 48
  • Cardiology and Cardiovascular Medicine 177
  • Physiology 37
Replace Tetsuo Kadota with:
Tetsuo Kadota Japan
Mohammad Shahidullah United States
Bertold Schrank Germany
Maria Angela Masini Italy
Manuel Kukuljan Chile
Robert W. Mercer United States
Junzo Ochi Japan
P. T. A. Gray United Kingdom
Robert M. Santer United Kingdom
Marthe J. Howard United States
Susan E. Luff relative to Tetsuo Kadota Japan Tetsuo Kadota's profile →
Citations per field
00.5×1.5×2.5×
Tetsuo Kadota · 1×
Citations per year

Countries citing papers authored by Susan E. Luff

Since Specialization
Citations

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

Fields of papers citing papers by Susan E. Luff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973118
2 200598
3 198776
4 200466
5 199261
6 199150
7 198439
8 198038
9 200436
10 200729
11 197429
12 198826
13 198024
14 198220
15 199319
16 200519
17 200019
18 199517
19
Sympathetic innervation of renal and extra-renal arterial vessels.
199217
20 200416

About Susan E. Luff

Susan E. Luff is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Physiology, having authored 33 papers that have together received 904 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Renin-Angiotensin System Studies (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Neuroscience and Neural Engineering (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (258 citations), Endocrine and Autonomic Systems (73 citations), Sensory Systems (48 citations), Cardiology and Cardiovascular Medicine (177 citations) and Physiology (37 citations). Susan E. Luff has collaborated with scholars based in Australia, Sri Lanka and United States. Frequent co-authors include Elspeth M. McLachlan, D. C. Sandeman, Warwick P. Anderson, G. D. S. Hirst, Mark Prescott, Paul Gavin, Rodney J. Devenish, SG Hengstberger, A. R. Luff and Kate M. Denton. Their work appears in journals such as The Journal of Comparative Neurology, Journal of Neurocytology, Journal of Neurochemistry, Advances in experimental medicine and biology and Placenta.

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.

Explore authors with similar magnitude of impact