Hans-Gerhard Burgert

3.2k citations
49 papers · 2.7k indexed · h-index 30
  • Immunology top 2%
    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 7
    • T-cell and B-cell Immunology 7
  • Genetics top 1%
    • Virus-based gene therapy research 34
    • Cytomegalovirus and herpesvirus research 7
    • Viral gastroenteritis research and epidemiology 6
  • Oncology top 5%
    • CAR-T cell therapy research 15
    • RNA Interference and Gene Delivery 9

Hans-Gerhard Burgert

49 papers receiving 2.6k citations

Peers

Hans-Gerhard Burgert
Comparison fields: 5 of 83
  • Immunology 1.2k
  • Genetics 1.3k
  • Epidemiology 830
  • Infectious Diseases 369
  • Oncology 542
Replace Zsolt Ruzsics with:
Zsolt Ruzsics Germany
Heidi Diggelmann Switzerland
Rebecca I. Montgomery United States
Richard D. Barry Australia
Eric Bartee United States
Laurent Coscoy United States
Michelle A. Ozbun United States
Chris Boutell United Kingdom
Jun Arii Japan
Satvir S. Tevethia United States
Hans-Gerhard Burgert relative to Zsolt Ruzsics Germany Zsolt Ruzsics's profile →
Citations per field
00.5×1.5×
Zsolt Ruzsics · 1×
Citations per year

Countries citing papers authored by Hans-Gerhard Burgert

Since Specialization
Citations

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

Fields of papers citing papers by Hans-Gerhard Burgert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans-Gerhard Burgert. 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 Hans-Gerhard Burgert. The network helps show where Hans-Gerhard Burgert may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20225
2 202029
3 20169
4 201341
5 200632
6 200625
7 200467
8 200331
9 2002120
10 200218
11 200030
12 200077
13 199627
14 199623
15 199513
16 199439
17 199040
18 198942
19 19897
20 198558

About Hans-Gerhard Burgert

Hans-Gerhard Burgert is a scholar working on Genetics, Immunology and Oncology, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (34 papers), CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (10 papers), RNA Interference and Gene Delivery (9 papers), Immunotherapy and Immune Responses (7 papers), Cytomegalovirus and herpesvirus research (7 papers), T-cell and B-cell Immunology (7 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Immunology (1.2k citations), Genetics (1.3k citations) and Epidemiology (830 citations). Hans-Gerhard Burgert has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Sune Kvist, Martina Sester, Mark Windheim, Janet L. Maryanski, Ulrich H. Koszinowski, François Deryckère, Walter Muranyi, Bernd Arnold, Heinrich Körner and Heike L. Pahl.

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

Rankless by CCL
2026