Adrian Wiestner

18.3k citations
231 papers · 9.5k indexed · 3 hit papers · h-index 52

Impact in

Papers in

Adrian Wiestner

221 papers receiving 9.4k citations

Hit Papers

Targeting B cell receptor signalling in cancer: preclinical and clinical advances 2018 · 296 citations
2962003202620102018200400600

Peers

Adrian Wiestner
Comparison fields: 5 of 119
  • Genetics 5.5k
  • Pathology and Forensic Medicine 4.6k
  • Hematology 1.8k
  • Immunology 3.1k
  • Oncology 2.3k
Replace Paolo Ghia with:
Paolo Ghia Italy
Dolors Colomer Spain
John C. Byrd United States
Davide Rossi Italy
Eric D. Hsi United States
Gunnar Juliusson Sweden
Matthew S. Davids United States
R. Eric Davis United States
Beatríz Bellosillo Spain
Steven Coutré United States
Adrian Wiestner relative to Paolo Ghia Italy Paolo Ghia's profile →
Citations per field
00.5×1.5×
Paolo Ghia · 1×
Citations per year

Countries citing papers authored by Adrian Wiestner

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Wiestner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202021
3 201913
4 201844
5 201862
6 201725
7 201740
8 2016121
9 201645
10 2016111
11 201591
12 2015160
13 201562
14 201412
15 2014198
16 2013159
17 201329
18 201261
19 201182
20 200630

About Adrian Wiestner

Adrian Wiestner is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 231 papers that have together received 9.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (185 papers), Lymphoma Diagnosis and Treatment (124 papers), Immunodeficiency and Autoimmune Disorders (47 papers), Monoclonal and Polyclonal Antibodies Research (34 papers), Chronic Myeloid Leukemia Treatments (29 papers), CAR-T cell therapy research (14 papers), Ubiquitin and proteasome pathways (13 papers) and PI3K/AKT/mTOR signaling in cancer (11 papers). The work is most often cited by research in Genetics (5.5k citations), Pathology and Forensic Medicine (4.6k citations), Hematology (1.8k citations), Immunology (3.1k citations) and Oncology (2.3k citations). Adrian Wiestner has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Louis M. Staudt, Andreas Rosenwald, Mohammed Farooqui, Patricia Pérez‐Galán, Jan A. Burger, Sarah E. M. Herman, Carsten Utoft Niemann, Clare Sun, George W. Wright and Bruce K. Tan. Their work appears in journals such as Blood, Clinical Cancer Research, Leukemia, Cancer Research 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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