T. Veit

527 citations
10 papers · 436 · h-index 9

Impact in

    • Heat shock proteins research
    • Biochemical and Molecular Research
    • Protein Structure and Dynamics
    • Enzyme Catalysis and Immobilization
    • Microbial Metabolic Engineering and Bioproduction
    • Cancer therapeutics and mechanisms

Papers in

    • Biochemical and Molecular Research 4
    • Enzyme Catalysis and Immobilization 3
    • Microbial Metabolic Engineering and Bioproduction 3
    • Protein Structure and Dynamics 2
    • Heat shock proteins research 2
    • Enzyme Structure and Function 5

T. Veit

10 papers receiving 420 citations

Peers

T. Veit
Comparison fields: 5 of 60
  • Molecular Biology 390
  • Virology 22
  • Infectious Diseases 82
  • Physical and Theoretical Chemistry 30
  • Genetics 26
Replace Lisandra M. Gava with:
Lisandra M. Gava Brazil
Petr Pachl Czechia
Nils Ostermann Switzerland
Anna V. Khodyakova United States
Tony A. Klink United States
Pierrick Craveur France
Shigeo Tsuchiya Japan
Thorsten Knöchel Germany
Joanna Cieśla Poland
W.N. Hunter United Kingdom
T. Veit relative to Lisandra M. Gava Brazil Lisandra M. Gava's profile →
Citations per field
00.5×3.7×
Lisandra M. Gava · 1×
Citations per year

Countries citing papers authored by T. Veit

Since Specialization
Citations

This map shows the geographic impact of T. Veit'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 T. Veit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Veit more than expected).

Fields of papers citing papers by T. Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside T. Veit, 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 T. Veit Line = papers co-authored together T. Veit links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200098
2 200090
3 199955
4 200143
5 200241
6 200039
7 200331
8 200423
9 20049
10 19997

About T. Veit

T. Veit is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Genetics and Virology, having authored 10 papers that have together received 436 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Biochemical and Molecular Research (4 papers), Enzyme Catalysis and Immobilization (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), HIV/AIDS drug development and treatment (3 papers), Protein Structure and Dynamics (2 papers), Heat shock proteins research (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Molecular Biology (390 citations), Virology (22 citations), Infectious Diseases (82 citations), Physical and Theoretical Chemistry (30 citations) and Genetics (26 citations). T. Veit has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Jochen Reinstein, Nils Ostermann, Arnon Lavie, Manfred Konrad, R. Brundiers, Roger S. Goody, Ilme Schlichting, Paul Muschler, Klaus Richter and Johannes Büchner. Their work appears in journals such as Journal of Molecular Biology, Engineering in Life Sciences, Structure, Biochemistry and Protein Science.

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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