R. Pasold

1.1k citations
13 papers · 494 · h-index 7

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

R. Pasold

12 papers receiving 482 citations

Peers

R. Pasold
Comparison fields: 5 of 39
  • Hematology 254
  • Genetics 141
  • Pathology and Forensic Medicine 114
  • Neurology 57
  • Infectious Diseases 69
Replace W. Grimminger with:
W. Grimminger Germany
CE Litz United States
Rosella Matera Italy
Chiara Frairia Italy
M Vigier France
E. P. Alessandrino Italy
Ikuo Miura Japan
R. Champlin United States
Shankara Paneesha United Kingdom
Bruce Greig United States
R. Pasold relative to W. Grimminger Germany W. Grimminger's profile →
Citations per field
00.5×3.9×
W. Grimminger · 1×
Citations per year

Countries citing papers authored by R. Pasold

Since Specialization
Citations

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

Fields of papers citing papers by R. Pasold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2004255
2 200577
3 200444
4 200343
5 200434
6 200220
7 20056
8 20026
9 20084
10 19993
11
A prospective Multicenter study of the BMPD regimen with or without radiotherapy for primary CNS lymphoma.
20031
12 20001
13 20010

About R. Pasold

R. Pasold is a scholar working on Pathology and Forensic Medicine, Neurology, Genetics, Oncology and Hematology, having authored 13 papers that have together received 494 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Myeloid Leukemia Research (2 papers), Antifungal resistance and susceptibility (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Hematology (254 citations), Genetics (141 citations), Pathology and Forensic Medicine (114 citations), Neurology (57 citations) and Infectious Diseases (69 citations). R. Pasold has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Dietger Niederwieser, Gerhard Ehninger, Axel Benner, Arnold Ganser, Thomas Büchner, Konstanze Döhner, Gerhard Heil, Markus Schaich, Rainer Krahl and Hartmut Döhner. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Transfusion, British Journal of Haematology, Blood and European Journal of Cancer.

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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