Meira Sternfeld

2.1k citations
13 papers · 1.1k indexed · h-index 13
Topics
Cholinesterase and Neurodegenerative Diseases (11 papers)Computational Drug Discovery Methods (7 papers)Nicotinic Acetylcholine Receptors Study (3 papers)
Partner nations
IsraelUnited StatesItaly

In The Last Decade

Meira Sternfeld

13 papers receiving 1.1k citations

Peers

Meira Sternfeld
Comparison fields: 5 of 93
  • Pharmacology 769
  • Molecular Biology 568
  • Computational Theory and Mathematics 319
  • Plant Science 196
  • Cellular and Molecular Neuroscience 162
Replace Jaime M. Hatcher with:
Jaime M. Hatcher United States
Dalia Ginzberg Israel
Judith A. Stribley United States
S.T.M. Allard Canada
William R. Randall United States
Dominique Baubichon France
Jiro Itoh Japan
Miro Brzin Slovenia
Annie Foquin France
Victor Gisiger Canada
Meira Sternfeld relative to Jaime M. Hatcher United States Jaime M. Hatcher's profile →
Citations per field
00.5×1.7×
Jaime M. Hatcher · 1×
Citations per year

Countries citing papers authored by Meira Sternfeld

Since Specialization
Citations

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

Fields of papers citing papers by Meira Sternfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meira Sternfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Meira Sternfeld. A scholar is included among the top collaborators of Meira Sternfeld 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 Meira Sternfeld. Meira Sternfeld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 133
2 41
3 75
4 31
5 112
6 302
7 15
8 174
9 15
10 88
11 57
12 73
13 22

About Meira Sternfeld

Meira Sternfeld is a scholar working on Pharmacology, Computational Theory and Mathematics and Behavioral Neuroscience, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (7 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). The work is most often cited by research in Pharmacology (769 citations), Computational Theory and Mathematics (319 citations) and Complementary and alternative medicine (87 citations). Meira Sternfeld has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Hermona Soreq, Dan Grisaru, Amiram Eldor, David Glick, Rina Timberg, Guo‐li Ming, Mu-ming Poo, Hong-jun Song, R Karpel and Dalia Ginzberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Molecular and Cellular 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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