Tina Schmidt

2.3k citations
50 papers · 1.3k indexed · 1 hit paper · h-index 20

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • COVID-19 Clinical Research Studies 7
    • Cytomegalovirus and herpesvirus research 13
    • Herpesvirus Infections and Treatments 12
    • HIV, Drug Use, Sexual Risk 4

Tina Schmidt

46 papers receiving 1.3k citations

Hit Papers

Immunogenicity and reactogenicity of heterologous ChAdOx1 nCoV-19/mRNA vaccination 2021 · 216 citations
216202120262022202450100150200

Peers

Tina Schmidt
Comparison fields: 5 of 98
  • Infectious Diseases 671
  • Transplantation 53
  • Health 105
  • Neurology 187
  • Animal Science and Zoology 105
Replace Carole Henry with:
Carole Henry United States
Ilhem Messaoudi United States
Christina A. Rostad United States
Baba M Japan
Olivier Picone France
Liliana Gabrielli Italy
Marie Studahl Sweden
Adriana Weinberg United States
Guillaume Martin‐Blondel France
Ashley L. Fink United States
Tina Schmidt relative to Carole Henry United States Carole Henry's profile →
Citations per field
00.5×7.6×
Carole Henry · 1×
Citations per year

Countries citing papers authored by Tina Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Tina Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20244
5 202315
6 20230
7 202219
8 20216
9 20214
10 202044
11 201927
12 201810
13 20186
14 201571
15 201425
16 201311
17 201319
18 201324
19 201219
20 201029

About Tina Schmidt

Tina Schmidt is a scholar working on Infectious Diseases, Epidemiology, Neurology, Immunology and Microbiology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (13 papers), Herpesvirus Infections and Treatments (12 papers), SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (7 papers), Immune Cell Function and Interaction (6 papers), Polyomavirus and related diseases (4 papers), HIV, Drug Use, Sexual Risk (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Infectious Diseases (671 citations), Transplantation (53 citations), Health (105 citations), Neurology (187 citations) and Animal Science and Zoology (105 citations). Tina Schmidt has collaborated with scholars based in Germany, Australia and Switzerland. Frequent co-authors include Martina Sester, Urban Sester, David Schub, Barbara C. Gärtner, Verena Klemis, Sophie Schneitler, Janine Mihm, Sören L. Becker, Hans H. Hirsch and Laura Ziegler. Their work appears in journals such as American Journal of Transplantation, European Journal of Immunology, Nature Communications, Genome and EBioMedicine.

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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