Mette Ilander

1.2k citations
25 papers · 444 · h-index 14

Impact in

  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 6
    • CAR-T cell therapy research 8
    • Cancer Immunotherapy and Biomarkers 5

Mette Ilander

25 papers receiving 441 citations

Peers

Mette Ilander
Comparison fields: 5 of 56
  • Hematology 138
  • Immunology 234
  • Genetics 79
  • Oncology 156
  • Rheumatology 47
Replace Paul Guglielmi with:
Paul Guglielmi France
Noemi F. Pereira Brazil
Maree S. Powell Australia
Sebastian Fernandez‐Pol United States
Merel C. M. Strik Netherlands
Helen M. Pomykala United States
Lisette van de Corput Netherlands
Olivia Simma Austria
Cécile Daussy France
Patrick Medd United Kingdom
Mette Ilander relative to Paul Guglielmi France Paul Guglielmi's profile →
Citations per field
00.5×8.1×
Paul Guglielmi · 1×
Citations per year

Countries citing papers authored by Mette Ilander

Since Specialization
Citations

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

Fields of papers citing papers by Mette Ilander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202360
2 202044
3 201943
4 201737
5 201435
6 201733
7 201427
8 201627
9 201425
10 201821
11 202317
12 202016
13 202115
14 201114
15 20145
16 20235
17 20205
18 20193
19 20193
20 20183

About Mette Ilander

Mette Ilander is a scholar working on Immunology, Oncology, Hematology, Genetics and Molecular Biology, having authored 25 papers that have together received 444 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Chronic Myeloid Leukemia Treatments (8 papers), Chronic Lymphocytic Leukemia Research (8 papers), CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Eosinophilic Disorders and Syndromes (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (138 citations), Immunology (234 citations), Genetics (79 citations), Oncology (156 citations) and Rheumatology (47 citations). Mette Ilander has collaborated with scholars based in Finland, Sweden and Norway. Frequent co-authors include Satu Mustjoki, Anna Kreutzman, Kimmo Porkka, Can Hekim, Oscar Brück, Jukka Vakkila, Olli Dufva, Annamari Ranki, Katariina Hannula‐Jouppi and Micaela Hernberg. Their work appears in journals such as Cancer Immunology Research, Blood, OncoImmunology, PLoS ONE and Clinical Cancer Research.

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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