Ulrich‐Peter Rohr

2.1k citations
36 papers · 1.5k · h-index 18

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 5%
    • Colorectal Cancer Treatments and Studies
    • Lung Cancer Research Studies
    • Cancer Treatment and Pharmacology

Papers in

    • Lung Cancer Research Studies 3
    • Cancer Treatment and Pharmacology 2
    • RNA Interference and Gene Delivery 4

Ulrich‐Peter Rohr

35 papers receiving 1.4k citations

Peers

Ulrich‐Peter Rohr
Comparison fields: 5 of 112
  • Hematology 231
  • Oncology 472
  • Internal Medicine 52
  • Genetics 133
  • Pulmonary and Respiratory Medicine 249
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Citations per year

Countries citing papers authored by Ulrich‐Peter Rohr

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich‐Peter Rohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulrich‐Peter Rohr. 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 Ulrich‐Peter Rohr. The network helps show where Ulrich‐Peter Rohr may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009175
2 2011154
3 2016140
4 2002121
5 2009118
6 2002118
7 2001110
8 200497
9 200857
10 200553
11 202143
12 200435
13 200629
14
Levels of minimal residual disease detected by quantitative molecular monitoring herald relapse in patients with multiple myeloma.
200428
15 200527
16 201723
17 200621
18 200219
19 201517
20 200510

About Ulrich‐Peter Rohr

Ulrich‐Peter Rohr is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Hematology and Genetics, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (4 papers), Lung Cancer Research Studies (3 papers), Brain Metastases and Treatment (3 papers), Multiple Myeloma Research and Treatments (3 papers), Viral Infections and Immunology Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Hematology (231 citations), Oncology (472 citations), Internal Medicine (52 citations), Genetics (133 citations) and Pulmonary and Respiratory Medicine (249 citations). Ulrich‐Peter Rohr has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Ralf Kronenwett, Rainer Haas, Roland Fenk, James T. Cassidy, Herbert I. Hurwitz, Leonard B. Saltz, Ulrich Steidl, Peter G. Compton, Benjamin Besse and Jane Huang. Their work appears in journals such as Journal of Clinical Oncology, Blood, Clinical Cancer Research, Cancer Gene Therapy and Neuro-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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