Janne Lehtiö

12.9k total citations · 2 hit papers
169 papers, 7.4k citations indexed

About

Janne Lehtiö is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Janne Lehtiö has authored 169 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Molecular Biology, 40 papers in Spectroscopy and 29 papers in Oncology. Recurrent topics in Janne Lehtiö's work include Advanced Proteomics Techniques and Applications (38 papers), Mass Spectrometry Techniques and Applications (26 papers) and Metabolomics and Mass Spectrometry Studies (13 papers). Janne Lehtiö is often cited by papers focused on Advanced Proteomics Techniques and Applications (38 papers), Mass Spectrometry Techniques and Applications (26 papers) and Metabolomics and Mass Spectrometry Studies (13 papers). Janne Lehtiö collaborates with scholars based in Sweden, United Kingdom and United States. Janne Lehtiö's co-authors include Henrik J. Johansson, Rui M. Branca, Maria Pernemalm, Lukas M. Orre, Rolf Lewensohn, Samir EL Andaloussi, Matthew J. A. Wood, Imre Mäger, Yi Lee and Pieter Vader and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Janne Lehtiö

164 papers receiving 7.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cells release subpopulations of exosomes with distinct molecular and biological properties

2016 743 citations Henrik J. Johansson, Janne Lehtiö et al. Scientific Reports profile →
Ultrafiltration with size-exclusion liquid chromatography for high yield isolation of extracellular vesicles preserving intact biophysical and functional properties

2015 519 citations Henrik J. Johansson, Oscar P. B. Wiklander et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janne Lehtiö Sweden	46	5.2k	1.8k	1.1k	795	709	169	7.4k
Jau‐Song Yu Taiwan	50	4.3k 0.8×	1.3k 0.8×	909 0.8×	1.4k 1.8×	582 0.8×	232	7.3k
Bryson D. Bennett United States	20	6.2k 1.2×	3.1k 1.8×	903 0.8×	651 0.8×	794 1.1×	29	9.3k
Rong‐Fong Shen United States	36	5.2k 1.0×	1.1k 0.6×	1.0k 1.0×	450 0.6×	296 0.4×	96	7.0k
Bart Ghesquière Belgium	41	3.9k 0.7×	1.7k 0.9×	557 0.5×	719 0.9×	350 0.5×	106	6.6k
Anthony D. Whetton United Kingdom	52	5.2k 1.0×	1.0k 0.6×	1.0k 0.9×	1.4k 1.8×	300 0.4×	277	8.9k
Henrik Molina United States	51	6.3k 1.2×	1.5k 0.8×	1.2k 1.1×	1.0k 1.3×	194 0.3×	127	8.8k
James A. Mobley United States	40	3.5k 0.7×	1.1k 0.6×	726 0.7×	352 0.4×	239 0.3×	125	5.6k
Christian Ihling Germany	45	4.0k 0.8×	620 0.4×	1.4k 1.3×	672 0.8×	333 0.5×	187	7.7k
Heather R. Christofk United States	35	6.0k 1.2×	4.0k 2.3×	324 0.3×	1.1k 1.4×	293 0.4×	72	8.5k
Sander R. Piersma Netherlands	40	2.8k 0.5×	852 0.5×	1.1k 1.1×	687 0.9×	270 0.4×	137	4.7k

Countries citing papers authored by Janne Lehtiö

Since Specialization

Citations

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

Fields of papers citing papers by Janne Lehtiö

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janne Lehtiö

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

All Works

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20 of 20 papers shown

Babačić, Haris, Xiaofang Cao, Jenny Forshed, et al.. (2025). Comparative evaluation of Olink Explore 3072 and mass spectrometry with peptide fractionation for plasma proteomics. Communications Chemistry. 8(1). 327–327.

Lafranchi, Lorenzo, Carmen Navarro, Rui Shao, et al.. (2025). Pooled overexpression screening identifies PIPPI as a novel microprotein involved in the ER stress response. Nucleic Acids Research. 53(20).

Bartels, Marius, Benoist Chibaudel, Rodrigo Dienstmann, et al.. (2024). Evolving and Improving the Sustainability of Molecular Tumor Boards: The Value and Challenges. Cancers. 16(16). 2888–2888. 1 indexed citations

Vesterlund, Mattias, Tojo James, Georgios Mermelekas, et al.. (2024). Delineating functional and molecular impact of ex vivo sample handling in precision medicine. npj Precision Oncology. 8(1). 38–38. 2 indexed citations

Erkers, Tom, Päivi Östling, Mattias Vesterlund, et al.. (2024). Pathway activation model for personalized prediction of drug synergy. eLife. 13. 1 indexed citations

Sharma, Nidhi, AnnSofi Sandberg, Georgios Mermelekas, et al.. (2024). Defining the Soluble and Extracellular Vesicle Protein Compartments of Plasma Using In-Depth Mass Spectrometry-Based Proteomics. Journal of Proteome Research. 23(9). 4114–4127. 6 indexed citations

Edsjö, Anders, Hege G. Russnes, Janne Lehtiö, et al.. (2024). High‐throughput molecular assays for inclusion in personalised oncology trials – State‐of‐the‐art and beyond. Journal of Internal Medicine. 295(6). 785–803. 5 indexed citations

Babačić, Haris, Wanda Christ, J.E. Araújo, et al.. (2023). Comprehensive proteomics and meta-analysis of COVID-19 host response. Nature Communications. 14(1). 5921–5921. 16 indexed citations

Silwal‐Pandit, Laxmi, Henrik J. Johansson, Georgios Mermelekas, et al.. (2022). Proteome Analysis of Pancreatic Tumors Implicates Extracellular Matrix in Patient Outcome. Cancer Research Communications. 2(6). 434–446. 5 indexed citations

10.

Babačić, Haris, Silvia Galardi, Husen M. Umer, et al.. (2022). Glioblastoma stem cells express non‐canonical proteins and exclusive mesenchymal‐like or non‐mesenchymal‐like protein signatures. Molecular Oncology. 17(2). 238–260. 3 indexed citations

11.

Umer, Husen M., Enrique Audain, Yafeng Zhu, et al.. (2021). Generation of ENSEMBL-based proteogenomics databases boosts the identification of non-canonical peptides. Bioinformatics. 38(5). 1470–1472. 15 indexed citations

12.

Peltonen, Karita, Sara Feola, Husen M. Umer, et al.. (2021). Therapeutic Cancer Vaccination with Immunopeptidomics-Discovered Antigens Confers Protective Antitumor Efficacy. Cancers. 13(14). 3408–3408. 17 indexed citations

13.

Rahmanto, Aldwin Suryo, Henrik J. Johansson, Marcela Franco, et al.. (2020). PTEN and DNA-PK determine sensitivity and recovery in response to WEE1 inhibition in human breast cancer. eLife. 9. 20 indexed citations

14.

Herr, Patrick, Johan Boström, Eric Rullman, et al.. (2020). Cell Cycle Profiling Reveals Protein Oscillation, Phosphorylation, and Localization Dynamics. Molecular & Cellular Proteomics. 19(4). 608–623. 24 indexed citations

15.

Ivanova, Aneta, Shaobai Huang, Rui M. Branca, et al.. (2019). A Mitochondrial LYR Protein Is Required for Complex I Assembly. PLANT PHYSIOLOGY. 181(4). 1632–1650. 25 indexed citations

16.

Chandran, Vineesh Indira, Charlotte Welinder, Ann‐Sofie Månsson, et al.. (2019). Ultrasensitive Immunoprofiling of Plasma Extracellular Vesicles Identifies Syndecan-1 as a Potential Tool for Minimally Invasive Diagnosis of Glioma. Clinical Cancer Research. 25(10). 3115–3127. 81 indexed citations

17.

Levitsky, Adrian, Maria Pernemalm, Britt‐Marie Bernhardson, et al.. (2019). Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model. Scientific Reports. 9(1). 16504–16504. 19 indexed citations

18.

Dzieran, Johanna, Ulrica Westermark, Aine Brigette Henley, et al.. (2018). MYCN -amplified neuroblastoma maintains an aggressive and undifferentiated phenotype by deregulation of estrogen and NGF signaling. Proceedings of the National Academy of Sciences. 115(6). E1229–E1238. 45 indexed citations

19.

Lindahl, Anna, Rainer Heuchel, Jenny Forshed, et al.. (2017). Discrimination of pancreatic cancer and pancreatitis by LC-MS metabolomics. Metabolomics. 13(5). 61–61. 38 indexed citations

20.

Lindahl, Anna, et al.. (2017). Tuning Metabolome Coverage in Reversed Phase LC–MS Metabolomics of MeOH Extracted Samples Using the Reconstitution Solvent Composition. Analytical Chemistry. 89(14). 7356–7364. 28 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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