G. Laakmann
Impact in
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
Papers in
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- Growth Hormone and Insulin-like Growth Factors 16
- Hormonal Regulation and Hypertension 9
- Pituitary Gland Disorders and Treatments 8
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- Stress Responses and Cortisol 18
- Co-authors
- Max Schmauß (8 shared papers)Hanns Hippius (5 shared papers)W.E. Bunney (1 shared paper)Thomas C. Baghai (23 shared papers)Cornelius Schüle (15 shared papers)Meinhard Kieser (2 shared papers)Michael Wittmann (8 shared papers)Hanna Schoen (3 shared papers)
In The Last Decade
G. Laakmann
80 papers receiving 2.6k citations
G. Laakmann's Hit Papers
Peers
Comparison fields: 5 of 117
- Behavioral Neuroscience 540
- Biological Psychiatry 330
- Cellular and Molecular Neuroscience 774
- Endocrine and Autonomic Systems 258
- Experimental and Cognitive Psychology 440
Countries citing papers authored by G. Laakmann
This map shows the geographic impact of G. Laakmann'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 G. Laakmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Laakmann more than expected).
Fields of papers citing papers by G. Laakmann
This network shows the impact of papers produced by G. Laakmann. 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 G. Laakmann. The network helps show where G. Laakmann may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Laakmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neuropsychopharmacology Hit paper breakdown → | 1990 | 1158 |
| 2 | 1998 | 255 | |
| 3 | 2002 | 85 | |
| 4 | 1984 | 69 | |
| 5 | 1986 | 61 | |
| 6 | 1983 | 55 | |
| 7 | 1998 | 54 | |
| 8 | 1999 | 40 | |
| 9 | 2002 | 40 | |
| 10 | 1977 | 40 | |
| 11 | 1985 | 38 | |
| 12 | 1998 | 38 | |
| 13 | 1993 | 35 | |
| 14 | 2003 | 35 | |
| 15 | 1986 | 35 | |
| 16 | 2009 | 33 | |
| 17 | 2017 | 33 | |
| 18 | 1986 | 30 | |
| 19 | 1988 | 29 | |
| 20 | 1990 | 28 |
About G. Laakmann
G. Laakmann is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Psychiatry and Mental health, Physiology and Pharmacology, having authored 81 papers that have together received 2.7k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (18 papers), Growth Hormone and Insulin-like Growth Factors (16 papers), Diet and metabolism studies (13 papers), Tryptophan and brain disorders (12 papers), Treatment of Major Depression (12 papers), Hormonal Regulation and Hypertension (9 papers), Pituitary Gland Disorders and Treatments (8 papers) and Schizophrenia research and treatment (7 papers). The work is most often cited by research in Behavioral Neuroscience (540 citations), Biological Psychiatry (330 citations), Cellular and Molecular Neuroscience (774 citations), Endocrine and Autonomic Systems (258 citations) and Experimental and Cognitive Psychology (440 citations). G. Laakmann has collaborated with scholars based in Germany, Spain and Slovenia. Frequent co-authors include Max Schmauß, Hanns Hippius, W.E. Bunney, Thomas C. Baghai, Cornelius Schüle, Meinhard Kieser, Michael Wittmann, Hanna Schoen, Ulrich Voderholzer and Christian J. Strasburger. Their work appears in journals such as Pharmacopsychiatry, Psychoneuroendocrinology, Psychopharmacology, Psychiatry Research and Biological Psychiatry.
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.