M. Lambertz

1.1k citations
30 papers · 776 indexed · h-index 14

M. Lambertz

29 papers receiving 742 citations

Peers

M. Lambertz
Comparison fields: 5 of 104
  • Cardiology and Cardiovascular Medicine 396
  • Endocrine and Autonomic Systems 94
  • Cognitive Neuroscience 259
  • Behavioral Neuroscience 43
  • Experimental and Cognitive Psychology 111
Replace V.C. Jampala with:
V.C. Jampala United States
Akira Sengoku Japan
P. G. Katona
Hélène Otzenberger France
Giammario Spadacini Italy
Zuzana Višňovcová Slovakia
Michal Mestanik Slovakia
Michael Lehofer Austria
Heikki V. Huikuri Finland
Andreas M. Burger Netherlands
M. Lambertz relative to V.C. Jampala United States V.C. Jampala's profile →
Citations per field
00.5×5.2×
V.C. Jampala · 1×
Citations per year

Countries citing papers authored by M. Lambertz

Since Specialization
Citations

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

Fields of papers citing papers by M. Lambertz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20090
2 2008268
3 200442
4 200421
5 200035
6 200017
7 199920
8 199869
9 19961
10 199512
11 199510
12
Reevaluation by image analysis of the effects of fibroblasts, fibronectin or laminin upon colony formation in mouse lungs by B16 melanoma cells.
19932
13 199310
14 199354
15 199216
16 19924
17 199133
18 19874
19 19865
20 198353

About M. Lambertz

M. Lambertz is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 30 papers that have together received 776 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (12 papers), EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (6 papers), Neuroscience of respiration and sleep (6 papers), Non-Invasive Vital Sign Monitoring (3 papers), Reproductive Biology and Fertility (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (396 citations), Endocrine and Autonomic Systems (94 citations), Cognitive Neuroscience (259 citations), Behavioral Neuroscience (43 citations) and Experimental and Cognitive Psychology (111 citations). M. Lambertz has collaborated with scholars based in Germany, France and United States. Frequent co-authors include P. Langhorst, Wayne A. Bardwell, Jong‐Bae Choi, Christian Schubert, Richard A. Nelesen, Joel E. Dimsdale, G. Schulz, Reinhard Grebe, Bárbara Schulz and F. Ries. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Autonomic Neuroscience, Journal of Hypertension, Biological Psychology and In Vitro Cellular & Developmental Biology - Animal.

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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