David Schub

23 papers receiving 990 citations

Hit Papers

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

Peers

David Schub
Comparison fields: 5 of 83
  • Infectious Diseases 431
  • Orthopedics and Sports Medicine 199
  • Rehabilitation 117
  • Health 93
  • Surgery 446
Replace Shay Porat with:
Shay Porat Israel
Louis W. Catalano United States
Wolfgang J. Mayer Germany
Chris Johnston United Kingdom
Matthew Wells United States
J Posch United States
John A. Buza United States
Reuben J. Arasaratnam United States
Jiyuan Ni United States
Luigi Tarallo Italy
David Schub relative to Shay Porat Israel Shay Porat's profile →
Citations per field
00.5×4.3×
Shay Porat · 1×
Citations per year

Countries citing papers authored by David Schub

Since Specialization
Citations

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

Fields of papers citing papers by David Schub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Immunogenicity and reactogenicity of heterologous ChAdOx1 nCoV-19/mRNA vaccination
Hit paper breakdown →
2021216
2 2021105
3 2018105
4 201289
5 200787
6 202071
7 201450
8 201548
9 201139
10 202230
11 201927
12 201326
13 201425
14 201216
15 201715
16 202015
17 202114
18 201810
19 20209
20 20237

About David Schub

David Schub is a scholar working on Rehabilitation, Orthopedics and Sports Medicine, Immunology, Infectious Diseases and Internal Medicine, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (6 papers), Sports injuries and prevention (5 papers), Herpesvirus Infections and Treatments (5 papers), Cytomegalovirus and herpesvirus research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), T-cell and B-cell Immunology (3 papers), COVID-19 Clinical Research Studies (3 papers) and Shoulder Injury and Treatment (3 papers). The work is most often cited by research in Infectious Diseases (431 citations), Orthopedics and Sports Medicine (199 citations), Rehabilitation (117 citations), Health (93 citations) and Surgery (446 citations). David Schub has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Martina Sester, Tina Schmidt, Urban Sester, Janine Mihm, Sophie Schneitler, Verena Klemis, Barbara C. Gärtner, Paul Saluan, Carl S. Winalski and Sören L. Becker. Their work appears in journals such as The American Journal of Sports Medicine, American Journal of Transplantation, European Journal of Immunology, Cell Death Discovery and Molecular Oncology.

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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