Anu Partanen

408 citations
33 papers · 195 · h-index 8

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 13
    • Multiple Myeloma Research and Treatments 12
    • Peptidase Inhibition and Analysis 5
    • Viral-associated cancers and disorders 5
    • Neutropenia and Cancer Infections 4
    • Cancer Treatment and Pharmacology 3

Anu Partanen

25 papers receiving 193 citations

Peers

Anu Partanen
Comparison fields: 5 of 41
  • Hematology 92
  • Transplantation 14
  • Oncology 67
  • Immunology 34
  • Anesthesiology and Pain Medicine 8
Replace Maria Gozzer with:
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Pei‐Chi Kao United States
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Anu Partanen relative to Maria Gozzer Italy Maria Gozzer's profile →
Citations per field
00.5×1.5×1.8×
Maria Gozzer · 1×
Citations per year

Countries citing papers authored by Anu Partanen

Since Specialization
Citations

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

Fields of papers citing papers by Anu Partanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200350
2 200031
3 201518
4 202011
5 202111
6 202010
7 20179
8 20177
9 20187
10 20244
11 20214
12 20184
13 20224
14 20243
15 20233
16 20233
17 20203
18 20173
19 20232
20 20242

About Anu Partanen

Anu Partanen is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 33 papers that have together received 195 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Multiple Myeloma Research and Treatments (12 papers), Lymphoma Diagnosis and Treatment (9 papers), Peptidase Inhibition and Analysis (5 papers), Viral-associated cancers and disorders (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Neutropenia and Cancer Infections (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Hematology (92 citations), Transplantation (14 citations), Oncology (67 citations), Immunology (34 citations) and Anesthesiology and Pain Medicine (8 citations). Anu Partanen has collaborated with scholars based in Finland, France and United States. Frequent co-authors include Juha Ellmén, Daniel F. Hayes, Esa Jantunen, Ville Varmavuo, Pentti Mäntymaa, Seppo Alahuhta, Marja Pyörälä, Kai Kiviluoma, Jukka Pelkonen and J. Karinen. Their work appears in journals such as Transfusion, Journal of Clinical Apheresis, Annals of Hematology, Cancers and Haemophilia.

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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