A. Lang

1.5k citations
50 papers · 1.2k · h-index 22

Impact in

Papers in

A. Lang

47 papers receiving 1.1k citations

Peers

A. Lang
Comparison fields: 5 of 106
  • Behavioral Neuroscience 162
  • Biological Psychiatry 109
  • Cellular and Molecular Neuroscience 453
  • Endocrine and Autonomic Systems 47
  • Psychiatry and Mental health 93
Replace Heather Davis with:
Heather Davis United States
Qun Zhang China
Bhargava Hiremagalur United States
Véronique Thibault Canada
Joseph Aloi United States
Daniel M. Kerr Ireland
S. Lewicka Germany
Annemarie Heberlein Germany
Chirayu D. Pandya United States
A. Lang relative to Heather Davis United States Heather Davis's profile →
Citations per field
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Citations per year

Countries citing papers authored by A. Lang

Since Specialization
Citations

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

Fields of papers citing papers by A. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199097
2 200484
3 200564
4 200563
5 199063
6 201657
7 201752
8 199145
9
A novel mutation in the M1S1 gene responsible for gelatinous droplike corneal dystrophy.
200141
10 200636
11 201834
12 199333
13
Evaluation of risk factors for mortality in surgically treated perforated peptic ulcer.
200132
14 201832
15 199531
16 199430
17 199729
18 200428
19 200825
20 199422

About A. Lang

A. Lang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Genetics and Psychiatry and Mental health, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (11 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (3 papers), Stress Responses and Cortisol (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Behavioral Neuroscience (162 citations), Biological Psychiatry (109 citations), Cellular and Molecular Neuroscience (453 citations), Endocrine and Autonomic Systems (47 citations) and Psychiatry and Mental health (93 citations). A. Lang has collaborated with scholars based in Estonia, Finland and Canada. Frequent co-authors include Eero Vasar, Jaanus Harro, Gunnar Tasa, Veiko Vasar, Eduard Maron, Raul Allan Kiivet, Benjamin Avidan, Jakov Shlik, S Bar-Meir and Emad Sakhnini. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, European Neuropsychopharmacology, European Journal of Pharmacology, International Journal of Environmental Research and Public Health and Neuropeptides.

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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