Wolfgang Stein

2.8k citations
115 papers · 2.1k · h-index 27

Impact in

Papers in

Wolfgang Stein

105 papers receiving 2.0k citations

Peers

Wolfgang Stein
Comparison fields: 5 of 133
  • Cellular and Molecular Neuroscience 942
  • Cognitive Neuroscience 475
  • Endocrine and Autonomic Systems 146
  • Aging 24
  • Ecology 327
Replace W. R. Loewenstein with:
W. R. Loewenstein United States
Zizhen Yao United States
Camillo Peracchia United States
Zuoren Wang China
Yasuko Suzuki Japan
Verena C. Wimmer Australia
Machelle T. Pardue United States
Dimitri Perrin Australia
Andrew Murray United Kingdom
Camille Vaillant United Kingdom
Wolfgang Stein relative to W. R. Loewenstein United States W. R. Loewenstein's profile →
Citations per field
00.5×5.3×
W. R. Loewenstein · 1×
Citations per year

Countries citing papers authored by Wolfgang Stein

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018163
2 2009118
3 1983117
4 199789
5 200075
6 200762
7 200355
8 200553
9 201450
10 198243
11 198537
12 199937
13 199637
14 201536
15 201335
16 200731
17 199731
18 198331
19 200930
20 200630

About Wolfgang Stein

Wolfgang Stein is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Ecology, Molecular Biology and Endocrine and Autonomic Systems, having authored 115 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (45 papers), Neural dynamics and brain function (18 papers), Photoreceptor and optogenetics research (11 papers), Insect and Arachnid Ecology and Behavior (8 papers), Crustacean biology and ecology (8 papers), Physiological and biochemical adaptations (7 papers), Circadian rhythm and melatonin (6 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (942 citations), Cognitive Neuroscience (475 citations), Endocrine and Autonomic Systems (146 citations), Aging (24 citations) and Ecology (327 citations). Wolfgang Stein has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include J. Bohner, Michael P. Nusbaum, M. Eggstein, Ulrike B. S. Hedrich, Arne E. Sauer, E. Kuhn, Carmen Smarandache‐Wellmann, Josef Schmitz, Ulrich Bässler and Cassandra Falckenhayn. Their work appears in journals such as Journal of Molecular Medicine, Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Comparative Physiology A and Journal of Experimental 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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