T‐T. Pelliniemi

517 citations
11 papers · 379 · h-index 8

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 7
    • Acute Myeloid Leukemia Research 3
    • Ubiquitin and proteasome pathways 2
    • Retinoids in leukemia and cellular processes 2

T‐T. Pelliniemi

11 papers receiving 363 citations

Peers

T‐T. Pelliniemi
Comparison fields: 5 of 49
  • Hematology 206
  • Genetics 47
  • Oncology 111
  • Immunology 70
  • Pathology and Forensic Medicine 37
Replace Minami Yamada with:
Minami Yamada Japan
Kazutaka Ozeki Japan
Cristina Ariola Italy
Gaku Oshikawa Japan
Chiu-Hwa Wang Taiwan
A Nandi United Kingdom
Michael J. Keating United States
B Barlogie United States
Patrizia Guglielmo Italy
G Spitzer United States
T‐T. Pelliniemi relative to Minami Yamada Japan Minami Yamada's profile →
Citations per field
00.5×
Minami Yamada · 1×
Citations per year

Countries citing papers authored by T‐T. Pelliniemi

Since Specialization
Citations

This map shows the geographic impact of T‐T. Pelliniemi'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 T‐T. Pelliniemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T‐T. Pelliniemi more than expected).

Fields of papers citing papers by T‐T. Pelliniemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T‐T. Pelliniemi. 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 T‐T. Pelliniemi. The network helps show where T‐T. Pelliniemi may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1995123
2 200363
3 199759
4 199837
5 199730
6 201427
7 199125
8 20009
9 19983
10 19932
11 19911

About T‐T. Pelliniemi

T‐T. Pelliniemi is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 379 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Acute Myeloid Leukemia Research (3 papers), Ubiquitin and proteasome pathways (2 papers), Chemokine receptors and signaling (2 papers), Retinoids in leukemia and cellular processes (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Hematology (206 citations), Genetics (47 citations), Oncology (111 citations), Immunology (70 citations) and Pathology and Forensic Medicine (37 citations). T‐T. Pelliniemi has collaborated with scholars based in Finland. Frequent co-authors include Allan Rajamäki, R Lahtinen, Kari Pulkki, Anri Tienhaara, Markku Laakso, Kari Mattila, Kari Remes, Kerttu Irjala, T. Nousiainen and Matti Putkonen. Their work appears in journals such as Blood, Bone Marrow Transplantation, Clinical & Experimental Immunology, British Journal of Haematology and Leukemia.

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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