L.B. Nanninga

982 citations
37 papers · 837 · h-index 14

Impact in

Papers in

L.B. Nanninga

37 papers receiving 714 citations

Peers

L.B. Nanninga
Comparison fields: 5 of 112
  • Fluid Flow and Transfer Processes 48
  • Pulmonary and Respiratory Medicine 209
  • Inorganic Chemistry 80
  • Hematology 64
  • Physiology 134
Replace U. Schmidt with:
U. Schmidt Germany
Toshio Akimoto Japan
Bernhard Deuticke Germany
C. B. Taylor United States
Yoshimi Yamaguchi Japan
Yoshiaki Shimizu Japan
Giampaolo Minetti Italy
Vithaldas P. Shanbhag Sweden
Peter Schlieper Germany
John R. Sachs United States
L.B. Nanninga relative to U. Schmidt Germany U. Schmidt's profile →
Citations per field
00.5×9.1×
U. Schmidt · 1×
Citations per year

Countries citing papers authored by L.B. Nanninga

Since Specialization
Citations

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

Fields of papers citing papers by L.B. Nanninga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.B. Nanninga. 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 L.B. Nanninga. The network helps show where L.B. Nanninga may publish in the future.

Co-authors

The 11 scholars most cited alongside L.B. Nanninga, 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 L.B. Nanninga Line = papers co-authored together L.B. Nanninga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967243
2 198693
3 196191
4 196176
5 195753
6 197148
7 196424
8 196021
9 195321
10 196220
11 196417
12 195717
13 195915
14 196013
15 196411
16 19579
17 19679
18 19624
19 19794
20
AUTOMATIC DETERMINATION OF LYSIS TIMES.
19644

About L.B. Nanninga

L.B. Nanninga is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Hematology, Cancer Research and Surgery, having authored 37 papers that have together received 837 indexed citations. Recurring topics across this work include Blood properties and coagulation (14 papers), Enzyme function and inhibition (6 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers), Protease and Inhibitor Mechanisms (4 papers), Electrochemical sensors and biosensors (3 papers), Ion channel regulation and function (3 papers), Diabetes Management and Research (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (48 citations), Pulmonary and Respiratory Medicine (209 citations), Inorganic Chemistry (80 citations), Hematology (64 citations) and Physiology (134 citations). L.B. Nanninga has collaborated with scholars based in United States. Frequent co-authors include M. Mason Guest, Magnus I. Gregersen, Shu Chien, Shunichi Usami, R. J. Dellenback, Bohdan R. Nechay, W. F. H. M. Mommaerts, Evert Gorter, Stephan E. Ritzmann and Earl W. Ferguson. Their work appears in journals such as Thrombosis and Haemostasis, Archives of Biochemistry and Biophysics, Proceedings of the National Academy of Sciences, Nature and The Journal of Physical Chemistry.

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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