H.P. Lorez

1.0k citations
33 papers · 880 · h-index 20

Impact in

Papers in

H.P. Lorez

31 papers receiving 833 citations

Peers

H.P. Lorez
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 582
  • Developmental Neuroscience 81
  • Endocrine and Autonomic Systems 87
  • Biological Psychiatry 24
  • Physiology 187
Replace Guillermo Jaim-Etcheverry with:
Guillermo Jaim-Etcheverry Argentina
T. Dennis Traylor United States
Barbara J. Wilcox United States
Shozo Kito Japan
K. Sato Japan
Wan-hua Amy Yu United States
A. M. Janson Sweden
T H Joh United States
Dale Hogan United States
Alain Privat France
H.P. Lorez relative to Guillermo Jaim-Etcheverry Argentina Guillermo Jaim-Etcheverry's profile →
Citations per field
00.5×
Guillermo Jaim-Etcheverry · 1×
Citations per year

Countries citing papers authored by H.P. Lorez

Since Specialization
Citations

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

Fields of papers citing papers by H.P. Lorez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H.P. Lorez, 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 H.P. Lorez Line = papers co-authored together H.P. Lorez 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 199285
2 198383
3 197364
4 198252
5 198351
6 198246
7 200245
8 198145
9 197540
10 198839
11 198332
12 197930
13 197529
14 198629
15 197528
16 199025
17 197524
18 197923
19 197822
20 198019

About H.P. Lorez

H.P. Lorez is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 33 papers that have together received 880 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Receptor Mechanisms and Signaling (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Nerve injury and regeneration (5 papers), Pain Mechanisms and Treatments (4 papers), Renal and Vascular Pathologies (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (582 citations), Developmental Neuroscience (81 citations), Endocrine and Autonomic Systems (87 citations), Biological Psychiatry (24 citations) and Physiology (187 citations). H.P. Lorez has collaborated with scholars based in Switzerland, Italy and Czechia. Frequent co-authors include John Richards, U. Otten, M. Da Prada, G. Haeusler, Milena Kemali, W.P. Burkard, Gisela Weskamp, R. Kettler, L. Pieri and W. Haefely. Their work appears in journals such as Brain Research, Pathobiology, Neuroscience, Cell and Tissue Research and Cellular and Molecular Life Sciences.

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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