Daniel Heintel

1.5k citations
40 papers · 1.2k · h-index 16

Impact in

  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research

Papers in

Daniel Heintel

36 papers receiving 1.2k citations

Peers

Daniel Heintel
Comparison fields: 5 of 66
  • Genetics 442
  • Hematology 426
  • Pathology and Forensic Medicine 310
  • Oncology 261
  • Immunology 195
Replace Yuri Kamitsuji with:
Yuri Kamitsuji Japan
Mirosław Majewski Poland
Sunhee Kwon Ro United States
Isabel Marugán Spain
Domenico Levato Italy
Craig Emmitt Cole United States
Aleksandra Rizo United States
Lauren E. Damon United States
Mikael Behrendtz Sweden
Shuhua Cheng United States
Daniel Heintel relative to Yuri Kamitsuji Japan Yuri Kamitsuji's profile →
Citations per field
00.5×2×4×6×8.7×
Yuri Kamitsuji · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011154
2 2021139
3 2005131
4 2013106
5 201291
6 200472
7 200270
8 200666
9 200761
10 202439
11 200732
12 200129
13 201528
14 201423
15 200121
16 201316
17 201713
18 200913
19 201111
20 201910

About Daniel Heintel

Daniel Heintel is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Oncology and Molecular Biology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (20 papers), Lymphoma Diagnosis and Treatment (19 papers), Multiple Myeloma Research and Treatments (11 papers), Protein Degradation and Inhibitors (6 papers), Glycosylation and Glycoproteins Research (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Viral-associated cancers and disorders (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Genetics (442 citations), Hematology (426 citations), Pathology and Forensic Medicine (310 citations), Oncology (261 citations) and Immunology (195 citations). Daniel Heintel has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Alexander Gaiger, Heinz Ludwig, Niklas Zojer, Ulrich Jäger, Ilse Schwarzinger, Martin Schreder, Ulrich Jäger, Arnold Bolomsky, Christine Mannhalter and Trang Le. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Haematologica and International Journal of Cancer.

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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