D. Haag

49 papers receiving 1.3k citations

Peers

D. Haag
Comparison fields: 5 of 98
  • Otorhinolaryngology 94
  • Cell Biology 337
  • Cancer Research 193
  • Dermatology 90
  • Immunology and Allergy 56
Replace M. Mitze with:
M. Mitze Germany
J. A. McCredie Canada
M. R. A. Pillai India
Willy Landuyt Belgium
Catherine A. Rugg United States
James V. Moore United Kingdom
Ulrich Brinck Germany
N. Chavaudra France
Nicholas H. A. Terry United States
Ekkehard Dikomey Germany
D. Haag relative to M. Mitze Germany M. Mitze's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Haag

Since Specialization
Citations

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

Fields of papers citing papers by D. Haag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983283
2 1983240
3
Glucose uptake, perfusion, and cell proliferation in head and neck tumors: relation of positron emission tomography to flow cytometry.
1991183
4 199850
5 198846
6 199643
7
Flow microfluorometric deoxyribonucleic acid (DNA) analysis supplementing routine histopathologic diagnosis of biopsy specimens.
198043
8 196937
9 198534
10 198730
11 198729
12 198929
13 198427
14 198526
15 196922
16 198019
17 200819
18 198218
19 196818
20 197518

About D. Haag

D. Haag is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Organic Chemistry and Atomic and Molecular Physics, and Optics, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Nuclear physics research studies (6 papers), Atomic and Molecular Physics (5 papers), Advanced Chemical Physics Studies (4 papers), Chemical Synthesis and Analysis (4 papers), melanin and skin pigmentation (3 papers), Breast Cancer Treatment Studies (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Otorhinolaryngology (94 citations), Cell Biology (337 citations), Cancer Research (193 citations), Dermatology (90 citations) and Immunology and Allergy (56 citations). D. Haag has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Olof Moesker, A. Kant, G. Peter Vooijs, P. H. K. Jap, Hans‐Dieter Scharf, Frans C. S. Ramaekers, F.C.S. Ramaekers, A. HUYSMANS, J.J.G. Puts and C. J. Herman. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, The European Physical Journal A, Histochemistry and Cell Biology, Journal of Cancer Research and Clinical Oncology and Organic Process Research & Development.

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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