Florian Läng

90.9k citations
1.4k papers · 68.2k indexed · 7 hit papers · h-index 113

Florian Läng

1.4k papers receiving 67.3k citations

Hit Papers

Mechanisms and pathophysiologica...142199720262006201650010001.5k2.0k2.5k

Peers

Florian Läng
Comparison fields: 5 of 194
  • Physiology 3.8k
  • Physiology 21.3k
  • Sensory Systems 2.9k
  • Molecular Biology 36.0k
  • Nephrology 3.5k
Replace Michael Karin with:
Michael Karin United States
Masayuki Yamamoto Japan
Douglas R. Green United States
David M. Sabatini United States
Sergio Grinstein Canada
Peter Carmeliet Belgium
Craig B. Thompson United States
Gregg L. Semenza United States
Ronald M. Evans United States
Franklin H. Epstein United States
Florian Läng relative to Michael Karin United States Michael Karin's profile →
Citations per field
00.5×4.3×
Michael Karin · 1×
Citations per year

Countries citing papers authored by Florian Läng

Since Specialization
Citations

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

Fields of papers citing papers by Florian Läng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20245
3 202322
4 20238
5 2018100
6 2018131
7 201415
8 201222
9 201174
10 20107
11 201052
12 201058
13 2008184
14 200811
15 200639
16 2005151
17 200543
18 2002255
19 199920
20 199758

About Florian Läng

Florian Läng is a scholar working on Physiology, Physiology and Sensory Systems, having authored 1.4k papers that have together received 68.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (377 papers), Erythrocyte Function and Pathophysiology (366 papers), Ion Transport and Channel Regulation (309 papers), Blood properties and coagulation (163 papers), Neuroscience and Neuropharmacology Research (130 papers), Neonatal Health and Biochemistry (125 papers), Cardiac electrophysiology and arrhythmias (100 papers) and Pancreatic function and diabetes (87 papers). The work is most often cited by research in Physiology (3.8k citations), Physiology (21.3k citations) and Sensory Systems (2.9k citations). Florian Läng has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Erich Gulbins, Stephan M. Huber, Michael Föller, Dieter Häussinger, Ioana Alesutan, Ekaterina Shumilina, Thomas Wieder, Siegfried Waldegger, Rosi Bissinger and Philipp A. Lang. Their work appears in journals such as Cellular Physiology and Biochemistry, Pflügers Archiv - European Journal of Physiology, Biochemical and Biophysical Research Communications, Kidney & Blood Pressure Research and The Journal of Membrane Biology.

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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