H. Lüllmann

3.2k citations
139 papers · 2.8k · h-index 28

Impact in

Papers in

H. Lüllmann

129 papers receiving 2.4k citations

Peers

H. Lüllmann
Comparison fields: 5 of 119
  • Cardiology and Cardiovascular Medicine 597
  • Cellular and Molecular Neuroscience 485
  • Molecular Biology 1.5k
  • Pharmacology 185
  • Physiology 484
Replace Theodore M. Brody with:
Theodore M. Brody United States
George E. Lindenmayer United States
Toru Egashira Japan
Amir Askari United States
D. Palm Germany
W. G. Wood United States
Erkki Nissinen Finland
Sidney S. Schreiber United States
Steven E. Mayer United States
Roland Zini France
H. Lüllmann relative to Theodore M. Brody United States Theodore M. Brody's profile →
Citations per field
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Theodore M. Brody · 1×
Citations per year

Countries citing papers authored by H. Lüllmann

Since Specialization
Citations

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

Fields of papers citing papers by H. Lüllmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978330
2 1975264
3 1979118
4 196297
5 198080
6 197779
7 196972
8 196867
9 196761
10
Kurzes Lehrbuch der Pharmakologie und Toxikologie
197860
11 197956
12 195655
13 197754
14 197253
15 198253
16 198150
17 198344
18 197342
19 197341
20 195738

About H. Lüllmann

H. Lüllmann is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Physiology, having authored 139 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (35 papers), Cardiac electrophysiology and arrhythmias (34 papers), Receptor Mechanisms and Signaling (17 papers), Neuroscience and Neuropharmacology Research (12 papers), Lipid Membrane Structure and Behavior (11 papers), Cardiomyopathy and Myosin Studies (6 papers), Neuroscience and Neural Engineering (6 papers) and Lysosomal Storage Disorders Research (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (597 citations), Cellular and Molecular Neuroscience (485 citations), Molecular Biology (1.5k citations), Pharmacology (185 citations) and Physiology (484 citations). H. Lüllmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Renate Lüllmann‐Rauch, Otmar Wassermann, Thies Peters, Pieter A. van Zwieten, Felix A. de la Iglesia, Martin Wehling, William C. Holland, Klaus Kuschinsky, Gustav Kuschinsky and Alexander R. Ziegler. Their work appears in journals such as European Journal of Pharmacology, British Journal of Pharmacology, Cellular and Molecular Life Sciences, Biochemical Pharmacology and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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