Minna Suvela

731 total citations
9 papers, 62 citations indexed

About

Minna Suvela is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Minna Suvela has authored 9 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Immunology. Recurrent topics in Minna Suvela's work include Protein Degradation and Inhibitors (3 papers), Cancer therapeutics and mechanisms (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Minna Suvela is often cited by papers focused on Protein Degradation and Inhibitors (3 papers), Cancer therapeutics and mechanisms (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Minna Suvela collaborates with scholars based in Finland, United States and United Kingdom. Minna Suvela's co-authors include Muntasir Mamun Majumder, Alun Parsons, Raija Silvennoinen, Pekka Anttila, Caroline A. Heckman, Anne J. Jääskeläinen, Samuli Eldfors, Riikka Karjalainen, Bhagwan Yadav and Mervi Kanerva and has published in prestigious journals such as Blood, Oncotarget and Journal of Neuroimmunology.

In The Last Decade

Minna Suvela

8 papers receiving 60 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Minna Suvela Finland	4	31	27	18	11	9	9	62
Julia Herzig Germany	4	23 0.7×	37 1.4×	16 0.9×	6 0.5×	7 0.8×	6	73
Charlotte Thompson United Kingdom	5	14 0.5×	12 0.4×	18 1.0×	21 1.9×	3 0.3×	9	75
Olena O Shevchuk Canada	3	51 1.6×	30 1.1×	19 1.1×	16 1.5×	2 0.2×	5	92
Jonas Waizenegger Germany	3	23 0.7×	15 0.6×	15 0.8×	29 2.6×	5 0.6×	4	74
Tony Andreas Müller Germany	4	26 0.8×	29 1.1×	13 0.7×	13 1.2×	2 0.2×	7	64
Jimeng Xue China	5	31 1.0×	19 0.7×	11 0.6×	43 3.9×	3 0.3×	10	91
Tina Giese United States	3	42 1.4×	8 0.3×	24 1.3×	6 0.5×	5 0.6×	6	56
Friederike Christen Germany	4	39 1.3×	13 0.5×	35 1.9×	4 0.4×	17 1.9×	9	80
Seonggon Kim South Korea	5	39 1.3×	10 0.4×	9 0.5×	9 0.8×	2 0.2×	8	65
ShaoNing Yang United States	4	48 1.5×	8 0.3×	23 1.3×	16 1.5×	4 0.4×	8	88

Countries citing papers authored by Minna Suvela

Since Specialization

Citations

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

Fields of papers citing papers by Minna Suvela

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minna Suvela

This figure shows the co-authorship network connecting the top 25 collaborators of Minna Suvela. A scholar is included among the top collaborators of Minna Suvela 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 Minna Suvela. Minna Suvela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Kumari, Romika, et al.. (2024). Efficacy of the Peptide Drug Conjugates Melflufen and OPDC3 in Venetoclax Resistant Acute Myeloid Leukemia. Blood. 144(Supplement 1). 1548–1548.

2.

Liu, Minxia, Yinyin Wang, Juho J. Miettinen, et al.. (2021). S100 Calcium Binding Protein Family Members Associate With Poor Patient Outcome and Response to Proteasome Inhibition in Multiple Myeloma. Frontiers in Cell and Developmental Biology. 9. 723016–723016. 7 indexed citations

3.

Flanagan, Ken, Muntasir Mamun Majumder, Romika Kumari, et al.. (2019). In Vitro and inVivo Activity of Melflufen in Amyloidosis. Blood. 134(Supplement_1). 3100–3100. 3 indexed citations

4.

Majumder, Muntasir Mamun, Raija Silvennoinen, Pekka Anttila, et al.. (2017). Identification of precision treatment strategies for relapsed/refractory multiple myeloma by functional drug sensitivity testing. Oncotarget. 8(34). 56338–56350. 30 indexed citations

5.

Majumder, Muntasir Mamun, Raija Silvennoinen, Pekka Anttila, et al.. (2015). Identification of precision treatment strategies for high risk multiple myeloma by ex vivo drug sensitivity testing. Clinical Lymphoma Myeloma & Leukemia. 15. e286–e286. 1 indexed citations

6.

Kemppinen, Anu, Minna Suvela, Pentti J. Tienari, et al.. (2009). MYO9B polymorphisms in multiple sclerosis. European Journal of Human Genetics. 17(6). 840–843. 3 indexed citations

7.

Kanerva, Mervi, Anne J. Jääskeläinen, Minna Suvela, et al.. (2008). Human herpesvirus-6 and -7 DNA in cerebrospinal fluid of facial palsy patients. Acta Oto-Laryngologica. 128(4). 460–464. 11 indexed citations

8.

Sulonen, Anna-Maija, S. Kallio, Pekka Ellonen, et al.. (2008). No evidence for shared etiology in two demyelinative disorders, MS and PLOSL. Journal of Neuroimmunology. 206(1-2). 86–90. 5 indexed citations

9.

Tikka-Kleemola, Päivi, Eija Hämäläinen, Minna Suvela, et al.. (2007). The enhancement of homogenous mass extension reaction: Comparison of two enzymes. Molecular and Cellular Probes. 21(3). 216–221. 2 indexed citations

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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