Kais Hussein

3.3k citations
107 papers · 2.1k · h-index 27

Impact in

  • Genetics top 1%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

Kais Hussein

105 papers receiving 2.1k citations

Peers

Kais Hussein
Comparison fields: 5 of 103
  • Genetics 575
  • Hematology 459
  • Oncology 496
  • Obstetrics and Gynecology 128
  • Rheumatology 213
Replace C. De Wolf‐Peeters with:
C. De Wolf‐Peeters Belgium
A. Criel Belgium
R Hoffman United States
MF Greaves United Kingdom
S. Thomas Traweek United States
Blanca Espinet Spain
A. Georgii Germany
Işınsu Kuzu Türkiye
Josée Audouin France
Morishige Takeshita Japan
Kais Hussein relative to C. De Wolf‐Peeters Belgium C. De Wolf‐Peeters's profile →
Citations per field
00.5×4.9×
C. De Wolf‐Peeters · 1×
Citations per year

Countries citing papers authored by Kais Hussein

Since Specialization
Citations

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

Fields of papers citing papers by Kais Hussein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011133
2 201788
3 201283
4 200975
5 201468
6 201268
7 201266
8 200865
9 201560
10 200858
11 200952
12 201448
13 201546
14 201041
15 202141
16 201740
17 201339
18 201039
19 200937
20 201636

About Kais Hussein

Kais Hussein is a scholar working on Genetics, Molecular Biology, Hematology, Oncology and Rheumatology, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (33 papers), Eosinophilic Disorders and Syndromes (16 papers), Kruppel-like factors research (14 papers), Chronic Myeloid Leukemia Treatments (13 papers), Viral-associated cancers and disorders (12 papers), Acute Myeloid Leukemia Research (12 papers), Pregnancy and preeclampsia studies (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Genetics (575 citations), Hematology (459 citations), Oncology (496 citations), Obstetrics and Gynecology (128 citations) and Rheumatology (213 citations). Kais Hussein has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hans Kreipe, Oliver Bock, Danny Jonigk, Katharina Theophile, Britta Maecker‐Kolhoff, Guntram Büsche, Christoph Klein, Florian Laenger, Jérôme Schlué and Henning Feist. Their work appears in journals such as Annals of Hematology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, American Journal Of Pathology, Leukemia Research and Placenta.

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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