M. Uppenkamp

2.8k citations
64 papers · 1.7k indexed · h-index 21

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 2%
    • Acute Myeloid Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 9
    • Hematopoietic Stem Cell Transplantation 9
    • Acute Myeloid Leukemia Research 7
    • Chronic Lymphocytic Leukemia Research 10

M. Uppenkamp

59 papers receiving 1.6k citations

Peers

M. Uppenkamp
Comparison fields: 5 of 92
  • Genetics 383
  • Hematology 367
  • Pathology and Forensic Medicine 555
  • Immunology 506
  • Oncology 554
Replace Norifumi Tsukamoto with:
Norifumi Tsukamoto Japan
Judit Demeter Hungary
Melek Ergin Türkiye
Maria K. Angelopoulou Greece
Sang Kyun Sohn South Korea
Eeva Juvonen Finland
Benet Nomdedeu Spain
Surender Juneja Australia
Xavier Mariette France
Akihiko Yokohama Japan
M. Uppenkamp relative to Norifumi Tsukamoto Japan Norifumi Tsukamoto's profile →
Citations per field
00.5×1.5×
Norifumi Tsukamoto · 1×
Citations per year

Countries citing papers authored by M. Uppenkamp

Since Specialization
Citations

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

Fields of papers citing papers by M. Uppenkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20167
2 201448
3 201141
4 20096
5 200955
6 20080
7 20080
8 20080
9 200722
10 200219
11 200160
12 20011
13 200035
14 199912
15 19966
16 199520
17 199512
18 199110
19 198812
20 198820

About M. Uppenkamp

M. Uppenkamp is a scholar working on Hematology, Genetics, Nephrology, Pathology and Forensic Medicine and Oncology, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Multiple Myeloma Research and Treatments (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (7 papers), Bone health and treatments (7 papers), Immune Cell Function and Interaction (7 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Genetics (383 citations), Hematology (367 citations), Pathology and Forensic Medicine (555 citations), Immunology (506 citations) and Oncology (554 citations). M. Uppenkamp has collaborated with scholars based in Germany, United States and Malaysia. Frequent co-authors include Jeffrey Cossman, Raoul Bergner, Mark Raffeld, James T. Sundeen, Martin Hoffmann, Edward H. Lipford, Eileen Sussman, L M Wahl, Robert Coupland and Dirk Henrich. Their work appears in journals such as Annals of Hematology, Blood, British Journal of Haematology, The Journal of Immunology and Vox Sanguinis.

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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