Francis Ayuk

1.0k citations
27 papers · 470 indexed · h-index 13
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation 6
    • Acute Myeloid Leukemia Research 3
    • Multiple Myeloma Research and Treatments 3
    • Chronic Myeloid Leukemia Treatments 3
  • Genetics top 10%
    • Virus-based gene therapy research 6
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
    • CAR-T cell therapy research 10
    • Viral Infectious Diseases and Gene Expression in Insects 3

Francis Ayuk

25 papers receiving 461 citations

Peers

Francis Ayuk
Comparison fields: 5 of 56
  • Hematology 212
  • Genetics 80
  • Transplantation 15
  • Immunology 114
  • Oncology 143
Replace Prashant Hiwarkar with:
Prashant Hiwarkar United Kingdom
Amandine Pradier Switzerland
Hideho Henzan Japan
Mary Sartor Australia
Takuro Kuriyama Japan
Gorin Nc France
Pavankumar Reddy Varanasi Germany
J. Joseph Melenhorst United States
Suzanne van Dorp Netherlands
Alexandra Salmon France
Francis Ayuk relative to Prashant Hiwarkar United Kingdom Prashant Hiwarkar's profile →
Citations per field
00.5×1.7×
Prashant Hiwarkar · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20241
4 20241
5 20241
6 20220
7 20222
8 202154
9 201647
10 201511
11 201328
12 201237
13 201015
14 201014
15 200917
16 200812
17 200222
18 200241
19 20016
20 199929

About Francis Ayuk

Francis Ayuk is a scholar working on Hematology, Oncology and Genetics, having authored 27 papers that have together received 470 indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Virus-based gene therapy research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (212 citations), Genetics (80 citations) and Transplantation (15 citations). Francis Ayuk has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Nicolaus Kröger, Tatjana Zabelina, Nicolaus Kröger, Brigitte Spath, Carsten Bokemeyer, Cornelia Fischer, Florian Länger, Haefaa Alchalby, Wolfram Ruf and Boris Fehse. Their work appears in journals such as New England Journal of Medicine, Blood and European 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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