Francis Ayuk

11.4k total citations · 1 hit paper
164 papers, 3.9k citations indexed

About

Francis Ayuk is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Francis Ayuk has authored 164 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Hematology, 50 papers in Oncology and 45 papers in Genetics. Recurrent topics in Francis Ayuk's work include Hematopoietic Stem Cell Transplantation (81 papers), Acute Myeloid Leukemia Research (40 papers) and Multiple Myeloma Research and Treatments (35 papers). Francis Ayuk is often cited by papers focused on Hematopoietic Stem Cell Transplantation (81 papers), Acute Myeloid Leukemia Research (40 papers) and Multiple Myeloma Research and Treatments (35 papers). Francis Ayuk collaborates with scholars based in Germany, United States and Italy. Francis Ayuk's co-authors include Nicolaus Kröger, Tatjana Zabelina, Christine Wolschke, Axel R. Zander, Boris Fehse, Ulrike Bacher, Anita Badbaran, Helmut Renges, Nico Gagelmann and Maximilian Christopeit and has published in prestigious journals such as Nature Communications, Blood and Cancer.

In The Last Decade

Francis Ayuk

153 papers receiving 3.9k citations

Hit Papers

CD19-targeted chimeric antigen receptor T cell therapy in... 2024 2026 2025 2024 25 50 75

Peers

Francis Ayuk
Comparison fields: 5 of 89
  • Hematology 2.9k
  • Oncology 1.2k
  • Immunology 1000
  • Molecular Biology 827
  • Genetics 818
Replace Tatjana Zabelina with:
Tatjana Zabelina Germany
Sally Arai United States
Giuseppe Bandini Italy
Christine Wolschke Germany
RE Champlin United States
Richard Champlin United States
Dai‐Hong Liu China
A Schattenberg Netherlands
Carol Ann Huff United States
Peter Kalhs Austria
Tatjana Zabelina Germany View profile →
Citations per field, relative to Francis Ayuk
Francis Ayuk · 1×
Citations per year, relative to Francis Ayuk
Francis Ayuk · 1×

Countries citing papers authored by Francis Ayuk

Since Specialization
Citations

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

Fields of papers citing papers by Francis Ayuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Ayuk

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Ayuk. A scholar is included among the top collaborators of Francis Ayuk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francis Ayuk. Francis Ayuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 1
3 0
4
CD19-targeted chimeric antigen receptor T cell therapy in two patients with multiple sclerosis breakdown →
78
5 6
6 0
7 4
8 3
9 8
10 9
11 7
12 5
13 9
14 14
15 12
16 1
17 62
18
Synergistic cytotoxic activity of treosulfan and gemcitabine in pancreatic cancer cell lines.
2
19 67
20 57

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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