Thomas Speiseder

745 citations
18 papers · 548 · h-index 10

Impact in

Papers in

    • Virus-based gene therapy research 15
    • Mesenchymal stem cell research 2
    • RNA Interference and Gene Delivery 6

Thomas Speiseder

18 papers receiving 546 citations

Peers

Thomas Speiseder
Comparison fields: 5 of 67
  • Genetics 232
  • Cancer Research 93
  • Virology 29
  • Molecular Biology 391
  • Immunology 96
Replace Daniel Öberg with:
Daniel Öberg Sweden
Nathan Englund United States
Andrew Bett United States
Ronald P. Leon United States
Derek Ostertag United States
Lisa A. Santry Canada
Cuizhu Zhang China
Mary M. Lozano United States
Valerio Leoni Italy
Ray Sweet United States
Thomas Speiseder relative to Daniel Öberg Sweden Daniel Öberg's profile →
Citations per field
00.5×4.7×
Daniel Öberg · 1×
Citations per year

Countries citing papers authored by Thomas Speiseder

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Speiseder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013134
2 201692
3 200862
4 201058
5 201743
6 201341
7 201130
8 201818
9 201517
10 201510
11 20168
12 20198
13 20127
14 20136
15 20225
16 20215
17 20232
18 20152

About Thomas Speiseder

Thomas Speiseder is a scholar working on Genetics, Molecular Biology, Epidemiology, Infectious Diseases and Animal Science and Zoology, having authored 18 papers that have together received 548 indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (6 papers), Animal Virus Infections Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), interferon and immune responses (2 papers), MicroRNA in disease regulation (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Genetics (232 citations), Cancer Research (93 citations), Virology (29 citations), Molecular Biology (391 citations) and Immunology (96 citations). Thomas Speiseder has collaborated with scholars based in Germany, United Kingdom and Russia. Frequent co-authors include Thomas Dobner, Melanie Schmid, Ramón A. González, Claudia Lange, Bärbel Brunswig‐Spickenheier, Peter Groitl, Stefanie Fischer, Grant S. Stewart, Philip E. Branton and Roger J.A. Grand. Their work appears in journals such as Journal of Virology, Viruses, Stem Cells, PLoS Pathogens and Biochimie.

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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