Hagit Shapira

4.8k citations
35 papers · 2.1k indexed · h-index 19
Topics
Receptor Mechanisms and Signaling (13 papers)Neuropeptides and Animal Physiology (10 papers)Neurobiology and Insect Physiology Research (5 papers)

In The Last Decade

Hagit Shapira

35 papers receiving 2.1k citations

Peers

Hagit Shapira
Comparison fields: 5 of 88
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 1.3k
  • Oncology 344
  • Surgery 244
  • Endocrinology, Diabetes and Metabolism 241
Replace Nicola Thompson with:
Nicola Thompson United Kingdom
Ian M. Varndell United Kingdom
C. Pantaloni France
Daniel L. Kilpatrick United States
Ian M. Dickerson United States
Mieczysław Marcinkiewicz Canada
Susanne Fehr Germany
Shoichi Ohkubo Japan
Philippe Gourlet Belgium
Zehava Levy Israel
Hagit Shapira relative to Nicola Thompson United Kingdom Nicola Thompson's profile →
Citations per field
00.5×1.5×
Nicola Thompson · 1×
Citations per year

Countries citing papers authored by Hagit Shapira

Since Specialization
Citations

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

Fields of papers citing papers by Hagit Shapira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hagit Shapira

This figure shows the co-authorship network connecting the top 25 collaborators of Hagit Shapira. A scholar is included among the top collaborators of Hagit Shapira 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 Hagit Shapira. Hagit Shapira 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
#WorkIndexed citations
1 6
2 6
3 11
4 14
5 46
6 6
7 3
8 35
9 19
10 52
11 7
12 31
13 7
14 9
15 247
16 10
17 24
18 29
19 24
20 25

About Hagit Shapira

Hagit Shapira is a scholar working on Aging, Cellular and Molecular Neuroscience and Molecular Biology, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (10 papers) and Neurobiology and Insect Physiology Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Endocrine and Autonomic Systems (177 citations) and Molecular Biology (1.3k citations). Hagit Shapira has collaborated with scholars based in Israel, United States and Malaysia. Frequent co-authors include Robert T. Jensen, Timothy Slattery, Richard N. Harkins, Martha H. Corjay, Yoram Oron, J.F. Battey, Stephen A. Wank, Andreas de Weerth, Jean Viallet and James M. Way. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

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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