B. Preiss

419 citations
15 papers · 326 · h-index 8

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • Biomedical Text Mining and Ontologies 2
    • Intelligent Tutoring Systems and Adaptive Learning 4
    • Semantic Web and Ontologies 2

B. Preiss

15 papers receiving 295 citations

Peers

B. Preiss
Comparison fields: 5 of 79
  • Biochemistry 61
  • Clinical Biochemistry 45
  • Pharmacology 42
  • Molecular Biology 184
  • Cell Biology 29
Replace Elisabeth Peterson with:
Elisabeth Peterson Sweden
Don A. Kleinsek United States
Peter S. Cammarata United States
Michael J. Arslanian United States
Robert P. Metzger United States
George P. Tryfiates United States
C. A. MARSH Australia
Bengt Mannervik Sweden
E Tria Italy
O. D. Bird United States
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Citations per field
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Elisabeth Peterson · 1×
Citations per year

Countries citing papers authored by B. Preiss

Since Specialization
Citations

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

Fields of papers citing papers by B. Preiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside B. Preiss, 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 B. Preiss Line = papers co-authored together B. Preiss links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1964145
2 197142
3 196035
4 198834
5 198021
6 197710
7
Concept graphics: a language for medical knowledge.
19929
8 19927
9 19877
10
UVAL-MED a universal visual associative language for medicine.
19946
11 19793
12 19692
13
An intelligent interactive simulator of clinical reasoning in general surgery.
19932
14 19782
15 19971

About B. Preiss

B. Preiss is a scholar working on Molecular Biology, Artificial Intelligence, Physiology, Ecology and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 326 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Adipose Tissue and Metabolism (3 papers), Hormonal and reproductive studies (2 papers), Biochemical effects in animals (2 papers), Semantic Web and Ontologies (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Radar Systems and Signal Processing (1 paper). The work is most often cited by research in Biochemistry (61 citations), Clinical Biochemistry (45 citations), Pharmacology (42 citations), Molecular Biology (184 citations) and Cell Biology (29 citations). B. Preiss has collaborated with scholars based in Canada, Mexico and Israel. Frequent co-authors include Konrad E. Bloch, Jean‐Guy Lehoux, Murray Fraser, E. Z. Rabin, Hanna Meyer, Zhixin Wang, Chen‐Lu Tsou, M Kaltenbach, E. Chornet and Jonathan Bouchard. Their work appears in journals such as Endocrinology, The Canadian Journal of Chemical Engineering, Biochemistry, Journal of Biological Chemistry and Methods of Information in Medicine.

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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