Markus Kapp

1.5k citations
51 papers · 1.0k indexed · h-index 20
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation 11
  • Immunology top 10%
    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 8
  • Oncology top 10%
    • CAR-T cell therapy research 6
    • Polyomavirus and related diseases 4
  • Epidemiology top 10%
    • Cytomegalovirus and herpesvirus research 17
    • Herpesvirus Infections and Treatments 6
    • Virus-based gene therapy research 4

Markus Kapp

50 papers receiving 1.0k citations

Peers

Markus Kapp
Comparison fields: 5 of 83
  • Hematology 251
  • Immunology 269
  • Oncology 315
  • Epidemiology 306
  • Infectious Diseases 144
Replace Stephanie L. Williams with:
Stephanie L. Williams United States
Hidemi Toyoda Japan
Véronique Pancré France
Floor Weerkamp Netherlands
Mar Bellido Spain
Cheryl Hutchins Australia
Jonathan J. Kotzin United States
Cristina Díaz de Heredia Spain
John J. Quinn United States
Zinaida Perić Croatia
Markus Kapp relative to Stephanie L. Williams United States Stephanie L. Williams's profile →
Citations per field
00.5×
Stephanie L. Williams · 1×
Citations per year

Countries citing papers authored by Markus Kapp

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201612
2 20169
3 201621
4 201516
5 201413
6 201416
7 201413
8 20139
9 201312
10 201271
11 201119
12 201144
13 201113
14 201015
15 20097
16 20098
17 200942
18 200746
19 200756
20 199860

About Markus Kapp

Markus Kapp is a scholar working on Hematology, Immunology and Oncology, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (17 papers), Hematopoietic Stem Cell Transplantation (11 papers), Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (6 papers), Herpesvirus Infections and Treatments (6 papers), Virus-based gene therapy research (4 papers) and Polyomavirus and related diseases (4 papers). The work is most often cited by research in Hematology (251 citations), Immunology (269 citations) and Oncology (315 citations). Markus Kapp has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Hermann Einsele, Shigeo Fuji, Götz Ulrich Grigoleit, Hermann Einsele, Leo Rasche, Stephan Mielke, Rolf Knippers, Dieter G. Müller, Bipin N. Savani and Sen Mui Tan. Their work appears in journals such as Bone Marrow Transplantation, Cytotherapy, Blood, Frontiers in Immunology and Annals of Hematology.

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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