L Vacca

844 citations
29 papers · 715 · h-index 14

Impact in

Papers in

L Vacca

28 papers receiving 658 citations

Peers

L Vacca
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 307
  • Gastroenterology 59
  • Endocrine and Autonomic Systems 48
  • Immunology 100
  • Physiology 117
Replace Ryogo Yui with:
Ryogo Yui Japan
Michael J. Perry United Kingdom
Philippa Claude United States
B. Walles Sweden
C. Bouchaud France
I. Benedeczky Hungary
E. Ciriaco Italy
Shouichiro Saito Japan
Burton L. Baker United States
L. Castaldo Italy
L Vacca relative to Ryogo Yui Japan Ryogo Yui's profile →
Citations per field
00.5×3.0×
Ryogo Yui · 1×
Citations per year

Countries citing papers authored by L Vacca

Since Specialization
Citations

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

Fields of papers citing papers by L Vacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980144
2
Laboratory manual of histochemistry
1985110
3 197588
4 200165
5 198553
6 197831
7 198229
8 198127
9 198323
10 197519
11 197519
12 198017
13 198116
14 197313
15 19778
16 19738
17 19737
18 19816
19 19736
20 19776

About L Vacca

L Vacca is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Immunology and Surgery, having authored 29 papers that have together received 715 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Pain Mechanisms and Treatments (4 papers), Neurobiology and Insect Physiology Research (3 papers), Crustacean biology and ecology (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (307 citations), Gastroenterology (59 citations), Endocrine and Autonomic Systems (48 citations), Immunology (100 citations) and Physiology (117 citations). L Vacca has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include S. Abrahams, N. E. Naftchi, Milton Fingerman, Earl A. Zimmerman, Philip Tomashefsky, Konrad C. Hsu, R. D. Lillie, Ryoichi Ikeda, G. K. Kulkarni and Philip Pizzolato. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Histochemistry and Cell Biology, Brain Research, Cell and Tissue Research and Gut.

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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