R. Pasold

1.1k citations
12 papers · 471 · h-index 7

Impact in

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

Papers in

R. Pasold

12 papers receiving 465 citations

Peers

R. Pasold
Comparison fields: 5 of 43
  • Hematology 256
  • Genetics 189
  • Pathology and Forensic Medicine 140
  • Oncology 110
  • Neurology 60
Replace E. P. Alessandrino with:
E. P. Alessandrino Italy
RD Brunning United States
Shankara Paneesha United Kingdom
CE Litz United States
Monica Tozzi Italy
Bruce Greig United States
N J Chao United States
JP Greer United States
I. Khouri United States
Marguerite Vignon France
R. Pasold relative to E. P. Alessandrino Italy E. P. Alessandrino's profile →
Citations per field
00.5×10×17×
E. P. Alessandrino · 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

12 of 12 papers shown
#Work
1 2004245
2 200569
3 200343
4 200441
5 200433
6 200219
7 20026
8 20056
9 20084
10 19993
11
A prospective Multicenter study of the BMPD regimen with or without radiotherapy for primary CNS lymphoma.
20031
12 20001

About R. Pasold

R. Pasold is a scholar working on Pathology and Forensic Medicine, Genetics, Neurology, Oncology and Hematology, having authored 12 papers that have together received 471 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), Neutropenia and Cancer Infections (2 papers), Histone Deacetylase Inhibitors Research (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Hematology (256 citations), Genetics (189 citations), Pathology and Forensic Medicine (140 citations), Oncology (110 citations) and Neurology (60 citations). R. Pasold has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Dietger Niederwieser, Rainer Krahl, Brigitte Mohr, R. Schlenk, Markus Schaich, Arnold Ganser, Gerhard Heil, Gerhard Ehninger, Konstanze Döhner and J Krauter. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Blood, British Journal of Haematology, Transfusion and Journal of Clinical Oncology.

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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