Markus Kapp

1.3k citations
47 papers · 1.0k · h-index 19

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Viral-associated cancers and disorders
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Hematopoietic Stem Cell Transplantation 10
    • Acute Myeloid Leukemia Research 1
    • Immunotherapy and Immune Responses 6

Markus Kapp

45 papers receiving 1.0k citations

Peers

Markus Kapp
Comparison fields: 5 of 42
  • Hematology 213
  • Oncology 157
  • Epidemiology 141
  • Immunology 75
  • Nutrition and Dietetics 41
Replace Dong‐Wook Ryang with:
Dong‐Wook Ryang South Korea
Andrea Mengarelli Italy
Y Suen United States
Jolanta Goździk Poland
Bénédicte Bruno France
Riad Omar El Fakih Saudi Arabia
Jelena Rascon Lithuania
Benoit Catteau France
Ryu Yanagisawa Japan
Aki Tanihara Japan
Markus Kapp relative to Dong‐Wook Ryang South Korea Dong‐Wook Ryang's profile →
Citations per field
00.5×2×4×5.9×
Dong‐Wook Ryang · 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-authors

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

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 201279
3 201574
4 200759
5 200750
6 201147
7 200846
8 200946
9 201443
10 201730
11 202130
12 199625
13 201124
14 200722
15 201422
16 201622
17 201220
18 201520
19 201620
20 201119

About Markus Kapp

Markus Kapp is a scholar working on Hematology, Immunology, Oncology, Epidemiology and Infectious Diseases, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Cytomegalovirus and herpesvirus research (7 papers), Immunotherapy and Immune Responses (6 papers), Pancreatic and Hepatic Oncology Research (4 papers), Antifungal resistance and susceptibility (2 papers), Lung Cancer Treatments and Mutations (1 paper), Clinical Nutrition and Gastroenterology (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (213 citations), Oncology (157 citations), Epidemiology (141 citations), Immunology (75 citations) and Nutrition and Dietetics (41 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, Leo Rasche, Stephan Mielke, Bipin N. Savani, Jürgen Löffler, Sen Mui Tan, Holger Frithjof Hebart and Max S. Topp. Their work appears in journals such as Bone Marrow Transplantation, Blood, Cytotherapy, Annals of Hematology and Frontiers in Immunology.

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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