Lior Appelbaum

3.6k citations
53 papers · 2.6k · h-index 27

Impact in

Papers in

Lior Appelbaum

51 papers receiving 2.6k citations

Peers

Lior Appelbaum
Comparison fields: 5 of 112
  • Endocrine and Autonomic Systems 1.1k
  • Cognitive Neuroscience 971
  • Aging 88
  • Cell Biology 584
  • Cellular and Molecular Neuroscience 541
Replace David A. Prober with:
David A. Prober United States
Jason Rihel United Kingdom
Daniela Vallone Germany
Mark W. Hankins United Kingdom
Yoav Gothilf Israel
Kouhei Matsuda Japan
John E. Zimmerman United States
Paul Witkovsky United States
Paul A. Gray United States
Matthew S. Kayser United States
Lior Appelbaum relative to David A. Prober United States David A. Prober's profile →
Citations per field
00.5×1.5×
David A. Prober · 1×
Citations per year

Countries citing papers authored by Lior Appelbaum

Since Specialization
Citations

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

Fields of papers citing papers by Lior Appelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007274
2 2007201
3 2017190
4 2009149
5 2010137
6 2011127
7 2009117
8 2019103
9 200694
10 201284
11 201474
12 201370
13 201567
14 201259
15 200654
16 201652
17 202151
18 200548
19 201547
20 200744

About Lior Appelbaum

Lior Appelbaum is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (21 papers), Circadian rhythm and melatonin (21 papers), Zebrafish Biomedical Research Applications (15 papers), Neurobiology and Insect Physiology Research (6 papers), Photoreceptor and optogenetics research (6 papers), Regulation of Appetite and Obesity (6 papers), Marine Invertebrate Physiology and Ecology (5 papers) and Thyroid Disorders and Treatments (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Cognitive Neuroscience (971 citations), Aging (88 citations), Cell Biology (584 citations) and Cellular and Molecular Neuroscience (541 citations). Lior Appelbaum has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Philippe Mourrain, Tali Lerer‐Goldshtein, Yoav Gothilf, David Zada, Luı́s de Lecea, Idan Elbaz, Ada Eban-Rothschild, Tohei Yokogawa, Gordon Wang and Wilfredo Marin. Their work appears in journals such as eLife, Journal of Neuroscience, Science Advances, Journal of Biological Chemistry and International Journal of Molecular Sciences.

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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