Daniel Heintel

1.5k citations
30 papers · 846 indexed · h-index 13

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 16
    • Multiple Myeloma Research and Treatments 10

Daniel Heintel

27 papers receiving 834 citations

Peers

Daniel Heintel
Comparison fields: 5 of 59
  • Genetics 346
  • Hematology 322
  • Pathology and Forensic Medicine 289
  • Immunology 168
  • Oncology 205
Replace Rocí­o Benito with:
Rocí­o Benito Spain
Domenico Levato Italy
Marek Hus Poland
Shuhua Yi China
Larry Mansouri Sweden
Michael Voralia Canada
Xinyan Lu United States
Michael J. Eckart Germany
Alicja Gruszka Italy
Till Seiler Germany
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Citations per field
00.5×1.5×2.2×
Rocí­o Benito · 1×
Citations per year

Countries citing papers authored by Daniel Heintel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Heintel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011137
2 2005116
3 201392
4 201280
5 200463
6 200261
7 200656
8 200755
9 200127
10 201525
11 201419
12 200119
13 201316
14 200912
15 201711
16 201110
17 20049
18 20039
19 20198
20 20116

About Daniel Heintel

Daniel Heintel is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Physiology and Oncology, having authored 30 papers that have together received 846 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (16 papers), Lymphoma Diagnosis and Treatment (14 papers), Multiple Myeloma Research and Treatments (10 papers), Protein Degradation and Inhibitors (5 papers), Glycosylation and Glycoproteins Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Genetics (346 citations), Hematology (322 citations), Pathology and Forensic Medicine (289 citations), Immunology (168 citations) and Oncology (205 citations). Daniel Heintel has collaborated with scholars based in Austria, Germany and Czechia. Frequent co-authors include Alexander Gaiger, Ilse Schwarzinger, Heinz Ludwig, Ulrich Jäger, Ulrich Jäger, Niklas Zojer, Arnold Bolomsky, Trang Le, Christine Mannhalter and Martin Schreder. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Haematologica and Annals of Hematology.

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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