Daniel Vitt

1.2k citations
46 papers · 959 · h-index 21

Impact in

Papers in

    • Biochemical and Molecular Research 8
    • Epigenetics and DNA Methylation 4
    • Wnt/β-catenin signaling in development and cancer 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Axial and Atropisomeric Chirality Synthesis 5

Daniel Vitt

43 papers receiving 933 citations

Peers

Daniel Vitt
Comparison fields: 5 of 90
  • Molecular Biology 432
  • Hepatology 45
  • Epidemiology 194
  • Organic Chemistry 183
  • Immunology 109
Replace Sarah L. Greig with:
Sarah L. Greig New Zealand
Ingrid Choong United States
Christina Lamers Germany
James M. Fujitaki United States
Song Feng China
Abhinav Kumar United States
Fernando Gómez Spain
Timothy J. Allison United States
Olaf Kinzel Italy
Lianhong Xu United States
Daniel Vitt relative to Sarah L. Greig New Zealand Sarah L. Greig's profile →
Citations per field
00.5×2.7×
Sarah L. Greig · 1×
Citations per year

Countries citing papers authored by Daniel Vitt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Vitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998102
2 201375
3 200363
4 201656
5 202048
6 201244
7 202043
8 201339
9 201739
10 201338
11 201734
12 199632
13 201431
14 201429
15 199827
16 199526
17 201925
18 201123
19 202022
20 199821

About Daniel Vitt

Daniel Vitt is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Immunology and Oncology, having authored 46 papers that have together received 959 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (8 papers), Axial and Atropisomeric Chirality Synthesis (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Epigenetics and DNA Methylation (4 papers), Molecular spectroscopy and chirality (4 papers), interferon and immune responses (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Molecular Biology (432 citations), Hepatology (45 citations), Epidemiology (194 citations), Organic Chemistry (183 citations) and Immunology (109 citations). Daniel Vitt has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Gerhard Bringmann, Hella Kohlhof, Johann Leban, Ralf Stowasser, Markus H. J. Seifert, Kristina Wolf, Stefan Strobl, Evelyn Peelen, Mirko Zaja and Jens Hartung. Their work appears in journals such as Antiviral Research, Journal of Crohn s and Colitis, Journal of Medicinal Chemistry, International Journal of Cancer and Tetrahedron.

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.

Explore authors with similar magnitude of impact