Adrian Wiestner

223 papers receiving 9.5k citations

Adrian Wiestner's Hit Papers

Targeting B cell receptor signalling in cancer: preclinical and clinical advances 2018 · 307 citations
3070+7+15Years since publication200400600

Peers

Adrian Wiestner
Comparison fields: 5 of 119
  • Genetics 5.3k
  • Pathology and Forensic Medicine 4.0k
  • Hematology 1.7k
  • Immunology 2.8k
  • Oncology 2.1k
Replace Paolo Ghia with:
Paolo Ghia Italy
Dolors Colomer Spain
John C. Byrd United States
Eric D. Hsi United States
Gunnar Juliusson Sweden
Matthew S. Davids United States
R. Eric Davis United States
Emili Montserrat Spain
Steven Coutré United States
Ramón García‐Sánz Spain
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Citations per field
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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-authors

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

Showing the 20 most-cited of 234 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A gene expression-based method to diagnose clinically distinct subgroups of diffuse large B cell lymphoma
Hit paper breakdown →
2003707
2
ZAP-70 expression identifies a chronic lymphocytic leukemia subtype with unmutated immunoglobulin genes, inferior clinical outcome, and distinct gene expression profile
Hit paper breakdown →
2003606
3 2004408
4
Targeting B cell receptor signalling in cancer: preclinical and clinical advances
Hit paper breakdown →
2018307
5 2010286
6 2009285
7 2004278
8 2017232
9 2014199
10 2014194
11 2008191
12 2015166
13 2002165
14 2013162
15 2015161
16 2013160
17 2015135
18 2014132
19 2010131
20 2012129

About Adrian Wiestner

Adrian Wiestner is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Molecular Biology and Hematology, having authored 234 papers that have together received 9.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (182 papers), Lymphoma Diagnosis and Treatment (109 papers), Immunodeficiency and Autoimmune Disorders (35 papers), Monoclonal and Polyclonal Antibodies Research (32 papers), Chronic Myeloid Leukemia Treatments (26 papers), CAR-T cell therapy research (15 papers), Ubiquitin and proteasome pathways (14 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Genetics (5.3k citations), Pathology and Forensic Medicine (4.0k citations), Hematology (1.7k citations), Immunology (2.8k citations) and Oncology (2.1k citations). Adrian Wiestner has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Louis M. Staudt, Sarah E. M. Herman, Andreas Rosenwald, Mohammed Farooqui, Patricia Pérez‐Galán, Jan A. Burger, Carsten Utoft Niemann, Clare Sun, Bruce K. Tan and George W. Wright. Their work appears in journals such as Blood, Clinical Cancer Research, Journal of Clinical Oncology, Cancer Research and Leukemia.

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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