T Lehmann

44 papers receiving 1.4k citations

Peers

T Lehmann
Comparison fields: 5 of 93
  • Psychiatry and Mental health 482
  • Cellular and Molecular Neuroscience 483
  • Developmental Neuroscience 90
  • Pediatrics, Perinatology and Child Health 166
  • Endocrinology, Diabetes and Metabolism 129
Replace Reina Roivainen with:
Reina Roivainen Finland
Johan Lundgren Sweden
Richard J. Konkol United States
Vincenzo Belcastro Italy
Kevin M. Lawrence United Kingdom
Kyoung Heo South Korea
Pilar Marco Spain
Joshua P. Klein United States
Ross Carne Australia
Bennett Blumenkopf United States
T Lehmann relative to Reina Roivainen Finland Reina Roivainen's profile →
Citations per field
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Citations per year

Countries citing papers authored by T Lehmann

Since Specialization
Citations

This map shows the geographic impact of T Lehmann'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 T Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Lehmann more than expected).

Fields of papers citing papers by T Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007278
2 2003172
3 2009109
4 200081
5 200175
6 200073
7
Weight-loss with low or high carbohydrate diet?
199669
8 200262
9 199760
10 200045
11 200943
12
Acarbose improves indirectly both insulin resistance and secretion in obese type 2 diabetic patients.
200243
13 201035
14 199632
15 199929
16 201528
17 200224
18 199723
19 199923
20 199916

About T Lehmann

T Lehmann is a scholar working on Cellular and Molecular Neuroscience, Surgery, Neurology, Psychiatry and Mental health and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epilepsy research and treatment (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Vascular Malformations Diagnosis and Treatment (4 papers), Diabetes Management and Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Neurosurgical Procedures and Complications (2 papers). The work is most often cited by research in Psychiatry and Mental health (482 citations), Cellular and Molecular Neuroscience (483 citations), Developmental Neuroscience (90 citations), Pediatrics, Perinatology and Child Health (166 citations) and Endocrinology, Diabetes and Metabolism (129 citations). T Lehmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Alain Golay, Christian E. Elger, Uwe Heinemann, Katrin Schulze, A. Eilers, Johannes Schramm, S. Gabriel, Richard J. Kovacs, E Bobbioni-Harsch and Hans Clusmann. Their work appears in journals such as Diabetic Medicine, Neuroradiology, Acta Neuropathologica, International Journal of Obesity and Epilepsia.

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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