F. E. Lehmann

1.3k citations
31 papers · 642 · h-index 13

Impact in

Papers in

F. E. Lehmann

30 papers receiving 510 citations

Peers

F. E. Lehmann
Comparison fields: 5 of 128
  • Cell Biology 94
  • Artificial Intelligence 141
  • Molecular Biology 213
  • Structural Biology 4
  • Physiology 64
Replace Kamran Karimi with:
Kamran Karimi Canada
Peter W. Neurath United States
Yoshiro Hanyu Japan
Terry L. Davis United States
M. Strauss Germany
Nick Owens United Kingdom
Martin J. Bishop United Kingdom
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F. E. Lehmann relative to Kamran Karimi Canada Kamran Karimi's profile →
Citations per field
00.5×6.4×
Kamran Karimi · 1×
Citations per year

Countries citing papers authored by F. E. Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by F. E. Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside F. E. 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 F. E. Lehmann Line = papers co-authored together F. E. Lehmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Semantic Networks in Artificial Intelligence
1992174
2 195272
3 195755
4 195349
5 195226
6 195526
7 195522
8 195421
9 195620
10 196219
11 195417
12 195615
13 195714
14 195812
15 195612
16 195110
17 19569
18 19618
19 19578
20 19937

About F. E. Lehmann

F. E. Lehmann is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases, Pulmonary and Respiratory Medicine and Pharmaceutical Science, having authored 31 papers that have together received 642 indexed citations. Recurring topics across this work include Enzyme function and inhibition (2 papers), Blood properties and coagulation (2 papers), Amoebic Infections and Treatments (2 papers), Chemical Reactions and Isotopes (2 papers), Medical and Health Sciences Research (2 papers), thermodynamics and calorimetric analyses (2 papers), Marine Biology and Environmental Chemistry (1 paper) and Spinal Dysraphism and Malformations (1 paper). The work is most often cited by research in Cell Biology (94 citations), Artificial Intelligence (141 citations), Molecular Biology (213 citations), Structural Biology (4 citations) and Physiology (64 citations). F. E. Lehmann has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include A Bairati, Richard M. Eakin, Anthony C. Clement, Vincenzo Mancuso, A. Scholl, P. D. Nieuwkoop, E Manni, R. Hauser, Heinz Hahn and Rudolf Seising. Their work appears in journals such as Die Naturwissenschaften, Experimental Cell Research, Cellular and Molecular Life Sciences, Journal of Molecular Medicine and Development Genes and Evolution.

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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