U. Gunzer

24 papers receiving 581 citations

Peers

U. Gunzer
Comparison fields: 5 of 66
  • Gastroenterology 57
  • Hematology 102
  • Biophysics 51
  • Pulmonary and Respiratory Medicine 219
  • Pathology and Forensic Medicine 87
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Simona Vatrano Italy
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Citations per year

Countries citing papers authored by U. Gunzer

Since Specialization
Citations

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

Fields of papers citing papers by U. Gunzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989229
2 200387
3 199452
4 198639
5 198636
6 199128
7 199721
8 198818
9
[Retrospective analysis of the clinical relevance of the Kiel classification of malignant non-Hodgkin's lymphomas (author's transl)].
197718
10 200513
11 197711
12 198610
13 19799
14
Computer-aided image analysis for the differentiation of mononuclear cells in peripheral blood smears from leukemic patients.
19818
15
Comparative colorimetry in cytophotometric measurements of azure B-eosin Y-stained and Giemsa-stained blood cell smears.
19827
16
[Clinical aspects of malignant non-Hodgkin's-lymphomas with reference to Kiel classification: centrocytic lymphoma, centroblastic-centrocytic lymphoma, lymphoblastic lymphoma, immunoblastic lymphoma].
19765
17 19754
18
Malignancy-associated changes in monocytes and lymphocytes in acute leukemias measured by high-resolution image processing.
19934
19 19843
20 19863

About U. Gunzer

U. Gunzer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 609 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (9 papers), AI in cancer detection (5 papers), Cell Image Analysis Techniques (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Ultrasound Imaging and Elastography (1 paper). The work is most often cited by research in Gastroenterology (57 citations), Hematology (102 citations), Biophysics (51 citations), Pulmonary and Respiratory Medicine (219 citations) and Pathology and Forensic Medicine (87 citations). U. Gunzer has collaborated with scholars based in Germany and Slovakia. Frequent co-authors include P. Preusser, Luigi Lenaz, H. Wilke, W. Achterrath, H. Knipp, Jochen Meyer, U. Fink, J. R. Siewert, H J Meyer and Hartmut Döhner. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Cytometry, Journal of Clinical Oncology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and Pattern Recognition Letters.

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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