H.-H. Wacker

443 citations
10 papers · 354 · h-index 8

Impact in

Papers in

H.-H. Wacker

10 papers receiving 330 citations

Peers

H.-H. Wacker
Comparison fields: 5 of 47
  • Pathology and Forensic Medicine 240
  • Genetics 74
  • Oncology 171
  • Dermatology 42
  • Immunology 85
Replace F. Le Marcʼhadour with:
F. Le Marcʼhadour France
Manuel F. Rosado United States
Wing C. Chan United States
Qun‐pei Yang China
Shigeo Nakamura Japan
Zach Liu United States
Byung‐Ock Choi South Korea
Tawatchai Pongpruttipan Thailand
Lin Nong China
Xi-Wen Bi China
H.-H. Wacker relative to F. Le Marcʼhadour France F. Le Marcʼhadour's profile →
Citations per field
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F. Le Marcʼhadour · 1×
Citations per year

Countries citing papers authored by H.-H. Wacker

Since Specialization
Citations

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

Fields of papers citing papers by H.-H. Wacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.-H. Wacker. 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 H.-H. Wacker. The network helps show where H.-H. Wacker may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Clonal gene rearrangement patterns correlate with immunophenotype and clinical parameters in patients with angioimmunoblastic lymphadenopathy.
1988122
2 200658
3 198658
4 200937
5
Altered expression of the retinoblastoma gene product in human high grade non-Hodgkin's lymphomas.
199437
6 199417
7 199013
8 20108
9 19993
10 20001

About H.-H. Wacker

H.-H. Wacker is a scholar working on Pathology and Forensic Medicine, Surgery, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 354 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Urinary and Genital Oncology Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Urologic and reproductive health conditions (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Galectins and Cancer Biology (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (240 citations), Genetics (74 citations), Oncology (171 citations), Dermatology (42 citations) and Immunology (85 citations). H.-H. Wacker has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Martin L. Hansmann, H. J. Radzun, K. Lennert, H Griesser, Tak W. Mak, A.C. Feller, H. Bartels, R. Kuse, M. R. Parwaresch and Michael Hummel. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Haematologica, Acta Haematologica, Current topics in pathology and Gut.

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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