Michał Lach

514 total citations
25 papers, 395 citations indexed

About

Michał Lach is a scholar working on Molecular Biology, Rheumatology and Genetics. According to data from OpenAlex, Michał Lach has authored 25 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Rheumatology and 4 papers in Genetics. Recurrent topics in Michał Lach's work include Osteoarthritis Treatment and Mechanisms (8 papers), Extracellular vesicles in disease (5 papers) and Pluripotent Stem Cells Research (4 papers). Michał Lach is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (8 papers), Extracellular vesicles in disease (5 papers) and Pluripotent Stem Cells Research (4 papers). Michał Lach collaborates with scholars based in Poland, Luxembourg and Sweden. Michał Lach's co-authors include Wiktoria Maria Suchorska, Magdalena Richter, Tomasz Trzeciak, Joanna Wróblewska, Katarzyna Kulcenty, Jacek Kaczmarczyk, Andrzej Marszałek, Wojciech Barczak, Adam Huczyński and Michał Antoszczak and has published in prestigious journals such as Clinical Cancer Research, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Michał Lach

23 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michał Lach Poland 13 235 109 104 57 55 25 395
Shui Sun China 13 173 0.7× 75 0.7× 86 0.8× 51 0.9× 96 1.7× 43 416
Piao Zhao China 9 194 0.8× 105 1.0× 59 0.6× 82 1.4× 35 0.6× 26 398
Sin‐Hye Oh South Korea 12 212 0.9× 61 0.6× 44 0.4× 106 1.9× 61 1.1× 24 445
Yuanmin Zhang China 11 264 1.1× 159 1.5× 72 0.7× 41 0.7× 39 0.7× 24 411
Youn Jae Jung South Korea 7 379 1.6× 207 1.9× 114 1.1× 59 1.0× 50 0.9× 7 525
Tadayoshi Kagiya Japan 10 231 1.0× 142 1.3× 64 0.6× 84 1.5× 36 0.7× 17 436
José H. Teixeira Portugal 12 357 1.5× 202 1.9× 42 0.4× 59 1.0× 56 1.0× 12 493
Haizi Cheng United States 13 218 0.9× 35 0.3× 59 0.6× 41 0.7× 64 1.2× 25 444
Xueyang Liao China 11 261 1.1× 55 0.5× 53 0.5× 47 0.8× 20 0.4× 14 380
Liecong Lin China 5 148 0.6× 53 0.5× 115 1.1× 52 0.9× 72 1.3× 9 325

Countries citing papers authored by Michał Lach

Since Specialization
Citations

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

Fields of papers citing papers by Michał Lach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Lach

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

All Works

20 of 20 papers shown
1.
2.
Lach, Michał, et al.. (2025). Neutralization of Toxic Malodorous Gases from Cattle Slurry. Applied Sciences. 15(4). 1888–1888.
3.
Lach, Michał, et al.. (2025). iPSC-conditioned medium mitigates the adverse effects of osteoarthritic synovial fluid on chondrocyte cultures. Biochemical and Biophysical Research Communications. 777. 152336–152336. 1 indexed citations
4.
Musielak, Marika, Michał Lach, Wiktoria Maria Suchorska, et al.. (2024). Impact of Proton Irradiation Depending on Breast Cancer Subtype in Patient-Derived Cell Lines. International Journal of Molecular Sciences. 25(19). 10494–10494. 3 indexed citations
5.
Lach, Michał, et al.. (2024). Negative Effects of Occurrence of Mycotoxins in Animal Feed and Biological Methods of Their Detoxification: A Review. Molecules. 29(19). 4563–4563. 4 indexed citations
6.
Lach, Michał, et al.. (2024). The iPSC secretome is beneficial for in vitro propagation of primary osteoarthritic chondrocytes cell lines. Biochemical and Biophysical Research Communications. 730. 150392–150392. 2 indexed citations
7.
Lach, Michał, et al.. (2023). Conditioned Medium – Is it an Undervalued Lab Waste with the Potential for Osteoarthritis Management?. Stem Cell Reviews and Reports. 19(5). 1185–1213. 16 indexed citations
8.
Wróblewska, Joanna, Michał Lach, Marcin Ruciński, et al.. (2022). MiRNAs from serum-derived extracellular vesicles as biomarkers for uveal melanoma progression. Frontiers in Cell and Developmental Biology. 10. 1008901–1008901. 14 indexed citations
9.
10.
Wróblewska, Joanna, Michał Lach, Katarzyna Kulcenty, et al.. (2021). The Analysis of Inflammation-Related Proteins in a Cargo of Exosomes Derived from the Serum of Uveal Melanoma Patients Reveals Potential Biomarkers of Disease Progression. Cancers. 13(13). 3334–3334. 21 indexed citations
11.
Lach, Michał, et al.. (2021). Multiplexed Immunobead-Based Cytokine Profiling in Patients with Ovarian Cancer. CeON Repository (Centre for Evaluation in Education and Science). 4(2). 31–43. 2 indexed citations
12.
Lach, Michał, et al.. (2020). Overcoming Resistance to Platinum-Based Drugs in Ovarian Cancer by Salinomycin and Its Derivatives—An In Vitro Study. Molecules. 25(3). 537–537. 26 indexed citations
13.
Wróblewska, Joanna, Michał Lach, Katarzyna Kulcenty, et al.. (2020). The Potential Role of Selected miRNA in Uveal Melanoma Primary Tumors as Early Biomarkers of Disease Progression. Genes. 11(3). 271–271. 17 indexed citations
14.
Lach, Michał, Joanna Wróblewska, Katarzyna Kulcenty, et al.. (2019). Chondrogenic Differentiation of Pluripotent Stem Cells under Controllable Serum-Free Conditions. International Journal of Molecular Sciences. 20(11). 2711–2711. 22 indexed citations
15.
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Richter, Magdalena, Tomasz Trzeciak, Jakub Dalibor Rybka, et al.. (2016). Correlations between serum adipocytokine concentrations, disease stage, radiological status and total body fat content in the patients with primary knee osteoarthritis. International Orthopaedics. 41(5). 983–989. 18 indexed citations
17.
Trzeciak, Tomasz, et al.. (2016). Application of cell and biomaterial-based tissue engineering methods in the treatment of cartilage, menisci and ligament injuries. International Orthopaedics. 40(3). 615–624. 25 indexed citations
18.
Suchorska, Wiktoria Maria & Michał Lach. (2015). The role of exosomes in tumor progression and metastasis (Review). Oncology Reports. 35(3). 1237–1244. 102 indexed citations
19.
Suchorska, Wiktoria Maria, Michał Lach, Magdalena Richter, Jacek Kaczmarczyk, & Tomasz Trzeciak. (2015). Bioimaging: An Useful Tool to Monitor Differentiation of Human Embryonic Stem Cells into Chondrocytes. Annals of Biomedical Engineering. 44(5). 1845–1859. 16 indexed citations
20.
Lach, Michał, et al.. (2014). Directed differentiation of induced pluripotent stem cells into chondrogenic lineages for articular cartilage treatment. Journal of Tissue Engineering. 5. 2746282109–2746282109. 19 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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