Jan Braess

7.0k citations
100 papers · 2.6k · h-index 27

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 64
    • Chronic Myeloid Leukemia Treatments 12
    • Hematopoietic Stem Cell Transplantation 11
    • Retinoids in leukemia and cellular processes 9
    • Histone Deacetylase Inhibitors Research 8

Jan Braess

93 papers receiving 2.5k citations

Peers

Jan Braess
Comparison fields: 5 of 92
  • Hematology 1.8k
  • Genetics 466
  • Cancer Research 273
  • Public Health, Environmental and Occupational Health 426
  • Molecular Biology 1.0k
Replace Eytan M. Stein with:
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Agnieszka Wierzbowska Poland
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Citations per field
00.5×1.5×
Eytan M. Stein · 1×
Citations per year

Countries citing papers authored by Jan Braess

Since Specialization
Citations

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

Fields of papers citing papers by Jan Braess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008329
2 2008239
3 2009213
4 2018107
5 200997
6 200187
7 201881
8 201275
9 201475
10 202071
11 200071
12 201657
13 201254
14 201452
15 202349
16 200948
17 200847
18
Oxaliplatin pharmacokinetics during a four-hour infusion.
199946
19 201144
20 201841

About Jan Braess

Jan Braess is a scholar working on Hematology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 100 papers that have together received 2.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (64 papers), Acute Lymphoblastic Leukemia research (20 papers), Chronic Myeloid Leukemia Treatments (12 papers), Hematopoietic Stem Cell Transplantation (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Retinoids in leukemia and cellular processes (9 papers), Histone Deacetylase Inhibitors Research (8 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (466 citations), Cancer Research (273 citations), Public Health, Environmental and Occupational Health (426 citations) and Molecular Biology (1.0k citations). Jan Braess has collaborated with scholars based in Germany, New Zealand and Netherlands. Frequent co-authors include Wolfgang Hiddemann, Karsten Spiekermann, Bernhard Wörmann, Wolfgang E. Berdel, Stefan K. Bohlander, Klaus H. Metzeler, Thomas Büchner, Wolfgang Kern, Maria‐Cristina Sauerland and Annika Dufour. Their work appears in journals such as Blood, Leukemia, Annals of Hematology, British Journal of Haematology and Haematologica.

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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