Tindaro Renda

883 citations
44 papers · 786 · h-index 16

Impact in

Papers in

Tindaro Renda

44 papers receiving 751 citations

Peers

Tindaro Renda
Comparison fields: 5 of 77
  • Microbiology 128
  • Cellular and Molecular Neuroscience 369
  • Endocrine and Autonomic Systems 97
  • Behavioral Neuroscience 40
  • Reproductive Medicine 62
Replace Loredana D’Este with:
Loredana D’Este Italy
Mitsuyuki Ichinose Japan
Kristina Nordström Sweden
A. Cupo France
Monique Synguélakis France
Charlotte Söderberg Sweden
A. Grasso Italy
Ryogo Yui Japan
Jürg Müller Switzerland
Martin Hall Sweden
Tindaro Renda relative to Loredana D’Este Italy Loredana D’Este's profile →
Citations per field
00.5×2×3×3.6×
Loredana D’Este · 1×
Citations per year

Countries citing papers authored by Tindaro Renda

Since Specialization
Citations

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

Fields of papers citing papers by Tindaro Renda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981121
2 200184
3
ARS Component B: structural characterization, tissue expression and regulation of the gene and protein (SLURP-1) associated with Mal de Meleda.
200459
4 199442
5 200741
6 199630
7 200225
8 200021
9 200120
10 199319
11 200018
12 199518
13 199217
14 200616
15 200216
16 199416
17 198915
18 199215
19 200814
20 200114

About Tindaro Renda

Tindaro Renda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Surgery, Endocrine and Autonomic Systems and Physiology, having authored 44 papers that have together received 786 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (25 papers), Receptor Mechanisms and Signaling (12 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Pain Mechanisms and Treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Hypothalamic control of reproductive hormones (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Microbiology (128 citations), Cellular and Molecular Neuroscience (369 citations), Endocrine and Autonomic Systems (97 citations), Behavioral Neuroscience (40 citations) and Reproductive Medicine (62 citations). Tindaro Renda has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Loredana D’Este, Arianna Casini, V. Erspamer, Rosa Vaccaro, Lucia Negri, Rossella Miele, Maurizio Simmaco, Sunil J. Wimalawansa, Maria Luisa Mangoni and Donatella Barra. Their work appears in journals such as Peptides, Cell and Tissue Research, Brain Research, The Anatomical Record and Histochemistry and Cell 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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