Miriam Altstein

1.9k citations
65 papers · 1.5k · h-index 23

Impact in

Papers in

Miriam Altstein

65 papers receiving 1.5k citations

Peers

Miriam Altstein
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 955
  • Insect Science 554
  • Endocrine and Autonomic Systems 121
  • Behavioral Neuroscience 46
  • Genetics 289
Replace Yasunori Oda with:
Yasunori Oda Japan
Masaaki Tsuda Japan
Bernt Linzen Germany
Wendi S. Neckameyer United States
Zoltan Dekan Australia
Tetsuya Miyamoto Japan
Hélène Tricoire-Leignel France
Pierre Charnet France
Joseph Walker United States
Josefina del Mármol United States
Miriam Altstein relative to Yasunori Oda Japan Yasunori Oda's profile →
Citations per field
00.5×3.7×
Yasunori Oda · 1×
Citations per year

Countries citing papers authored by Miriam Altstein

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Altstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977109
2 198880
3 198876
4 201072
5 198672
6 200161
7 199655
8 199948
9 199045
10 200642
11 198140
12 199640
13 200739
14 200436
15 198934
16 198133
17 200432
18 197932
19 200032
20 200031

About Miriam Altstein

Miriam Altstein is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Molecular Biology, Genetics and Social Psychology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (34 papers), Insect and Pesticide Research (26 papers), Insect Pheromone Research and Control (19 papers), Neuropeptides and Animal Physiology (15 papers), Insect and Arachnid Ecology and Behavior (14 papers), Neuroendocrine regulation and behavior (7 papers), Analytical chemistry methods development (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (955 citations), Insect Science (554 citations), Endocrine and Autonomic Systems (121 citations), Behavioral Neuroscience (46 citations) and Genetics (289 citations). Miriam Altstein has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Harold Gainer, Zvi Vogel, Dick R. Nässel, E. Dunkelblum, Yoav Gazit, Alisa Bronshtein, Chaim Gilon, Shmaryahu Blumberg, Sharon Key and Mark H. Whitnall. Their work appears in journals such as Peptides, Archives of Insect Biochemistry and Physiology, Journal of Insect Physiology, FEBS Letters and European Journal of Pharmacology.

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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