L. Barr-Nea

922 total citations
34 papers, 717 citations indexed

About

L. Barr-Nea is a scholar working on Pharmacology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, L. Barr-Nea has authored 34 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 7 papers in Molecular Biology and 6 papers in Infectious Diseases. Recurrent topics in L. Barr-Nea's work include Healthcare and Venom Research (8 papers), Antifungal resistance and susceptibility (6 papers) and Laser Applications in Dentistry and Medicine (6 papers). L. Barr-Nea is often cited by papers focused on Healthcare and Venom Research (8 papers), Antifungal resistance and susceptibility (6 papers) and Laser Applications in Dentistry and Medicine (6 papers). L. Barr-Nea collaborates with scholars based in Israel, United Kingdom and Canada. L. Barr-Nea's co-authors include Shimon Rochkind, A. Bartal, Moshe Nissan, Esther Segal, Jacob S. Ishay, M. Nissan, N. Razon, Michal Schwartz, Nissim Razon and N. Lehrer and has published in prestigious journals such as Spine, Cellular and Molecular Life Sciences and European Journal of Immunology.

In The Last Decade

L. Barr-Nea

33 papers receiving 662 citations

Peers

L. Barr-Nea
Comparison fields: 5 of 93
  • Radiology, Nuclear Medicine and Imaging 458
  • Physiology 112
  • Cellular and Molecular Neuroscience 101
  • Infectious Diseases 80
  • Dermatology 65
T Spiry
Timo Tervo Finland
Shotaro Nishimura Japan
Stephanie Cox United States
Emi Kanno Japan
Miguel Angel Castillo Salgado Brazil
Edson Rosa Pimentel Brazil
Kaevalin Lekhanont Thailand
B. Pearson United States
Michael Bette Germany
Citations per field, relative to L. Barr-Nea
L. Barr-Nea · 1×
Citations per year, relative to L. Barr-Nea
L. Barr-Nea · 1×

Countries citing papers authored by L. Barr-Nea

Since Specialization
Citations

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

Fields of papers citing papers by L. Barr-Nea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Barr-Nea

This figure shows the co-authorship network connecting the top 25 collaborators of L. Barr-Nea. A scholar is included among the top collaborators of L. Barr-Nea based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L. Barr-Nea. L. Barr-Nea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 23
2 56
3 207
4 11
5 31
6 5
7 84
8 14
9 1
10
Oriental hornet venom enhances wound healing and repair in rat skin, possibly through its collagenolytic activity.
3
11 2
12 9
13 5
14 5
15 0
16 20
17 7
18 1
19
[Specific enzyme activities of the golgi apparatus zone and lysosomes in hepatocytes in culture, in the normal state and after toxic action].
1
20
Tissue culture studies of the embryonal chicken retina.
9

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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