Rudolf Weide

1.9k citations
89 papers · 1.0k · h-index 19

Impact in

Papers in

    • Cancer Treatment and Pharmacology 13
    • Lung Cancer Research Studies 9
    • HER2/EGFR in Cancer Research 8
    • Advanced Breast Cancer Therapies 12
    • Lung Cancer Treatments and Mutations 9
    • Brain Metastases and Treatment 8

Rudolf Weide

85 papers receiving 1.0k citations

Peers

Rudolf Weide
Comparison fields: 5 of 76
  • Genetics 344
  • Pathology and Forensic Medicine 331
  • Oncology 488
  • Hematology 198
  • Rheumatology 132
Replace H. Köppler with:
H. Köppler Germany
Raúl Córdoba Spain
Igor Aurer Croatia
Sarika Ogale United States
Astrid Franke Germany
Canellos Gp United States
Yasser Khafaga Saudi Arabia
Farhad Ravandi‐Kashani United States
B. W. Hancock United Kingdom
Candido E. Rivera United States
Rudolf Weide relative to H. Köppler Germany H. Köppler's profile →
Citations per field
00.5×5.3×
H. Köppler · 1×
Citations per year

Countries citing papers authored by Rudolf Weide

Since Specialization
Citations

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

Fields of papers citing papers by Rudolf Weide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200775
2 200367
3 201862
4 199661
5 201652
6 200447
7 201434
8 199232
9 201030
10 200830
11
The role of the MDR-1/P-170 mechanism in the development of multidrug resistance in chronic myeloid leukemia.
199027
12 201026
13 200426
14 199726
15 201425
16 200022
17 200220
18 199619
19 201919
20 199318

About Rudolf Weide

Rudolf Weide is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Pathology and Forensic Medicine and Hematology, having authored 89 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (21 papers), Lymphoma Diagnosis and Treatment (20 papers), Cancer Treatment and Pharmacology (13 papers), Advanced Breast Cancer Therapies (12 papers), Lung Cancer Research Studies (9 papers), Lung Cancer Treatments and Mutations (9 papers), HER2/EGFR in Cancer Research (8 papers) and Brain Metastases and Treatment (8 papers). The work is most often cited by research in Genetics (344 citations), Pathology and Forensic Medicine (331 citations), Oncology (488 citations), Hematology (198 citations) and Rheumatology (132 citations). Rudolf Weide has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include H. Köppler, Jochen Heymanns, Jörg Thomalla, K. Havemann, Martine Klausmann, W. Lorenz, K. Ehlenz, Eduard M. Walthers, C. Dowding and Christoph Losem. Their work appears in journals such as British Journal of Haematology, Blood, Annals of Oncology, Annals of Hematology and Cancer Research.

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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