Kai Wille

1.6k citations
40 papers · 378 · h-index 11

Impact in

  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 15
    • Pancreatic and Hepatic Oncology Research 6
    • Cancer Treatment and Pharmacology 5

Kai Wille

35 papers receiving 374 citations

Peers

Kai Wille
Comparison fields: 5 of 54
  • Genetics 134
  • Hematology 71
  • Rheumatology 60
  • Oncology 107
  • Internal Medicine 9
Replace Aref Chehal with:
Aref Chehal Lebanon
Leonardo Campiotti Italy
Rutger Maas Netherlands
Richard Pilot United States
Sotirios Sachanas Greece
L Lemaître France
PM Parikh India
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Kai Wille relative to Aref Chehal Lebanon Aref Chehal's profile →
Citations per field
00.5×10×14.3×
Aref Chehal · 1×
Citations per year

Countries citing papers authored by Kai Wille

Since Specialization
Citations

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

Fields of papers citing papers by Kai Wille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Wille, 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 Kai Wille Line = papers co-authored together Kai Wille 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 201859
2 202440
3 201831
4 201825
5 202020
6 202018
7 202018
8 202416
9 202114
10 202113
11 202012
12 20229
13 20219
14 20228
15 20218
16 20198
17 20237
18 20216
19 20206
20 20216

About Kai Wille

Kai Wille is a scholar working on Genetics, Oncology, Hematology, Rheumatology and Cancer Research, having authored 40 papers that have together received 378 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (15 papers), Eosinophilic Disorders and Syndromes (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Pancreatic and Hepatic Oncology Research (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer Treatment and Pharmacology (5 papers), COVID-19 Clinical Research Studies (5 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Genetics (134 citations), Hematology (71 citations), Rheumatology (60 citations), Oncology (107 citations) and Internal Medicine (9 citations). Kai Wille has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Parvis Sadjadian, Martin Grießhammer, Tatjana Becker, Christiane Fuchs, Marko Kornmann, Thomas Seufferlein, Thomas J. Ettrich, Hana Algül, Andrea Tannapfel and Michael Geißler. Their work appears in journals such as Journal of Clinical Oncology, Annals of Hematology, Annals of Oncology, European Journal Of Haematology and HemaSphere.

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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