Marcin Jędryka

1.6k total citations
34 papers, 303 citations indexed

About

Marcin Jędryka is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Immunology. According to data from OpenAlex, Marcin Jędryka has authored 34 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Reproductive Medicine, 11 papers in Obstetrics and Gynecology and 8 papers in Immunology. Recurrent topics in Marcin Jędryka's work include Endometriosis Research and Treatment (13 papers), Ovarian cancer diagnosis and treatment (10 papers) and Endometrial and Cervical Cancer Treatments (7 papers). Marcin Jędryka is often cited by papers focused on Endometriosis Research and Treatment (13 papers), Ovarian cancer diagnosis and treatment (10 papers) and Endometrial and Cervical Cancer Treatments (7 papers). Marcin Jędryka collaborates with scholars based in Poland, Romania and Spain. Marcin Jędryka's co-authors include Ewa Maria Kratz, Agnieszka Piwowar, Izabela Kokot, Rafał Matkowski, Hubert Krotkiewski, Vladimír Bobek, Katarína Kološtová, M Goluda, M Gabryś and Andrzej Czekański and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Marcin Jędryka

31 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcin Jędryka Poland 11 167 101 81 71 61 34 303
Maria-Eulalia Fernández-Montolí Spain 12 117 0.7× 126 1.2× 42 0.5× 49 0.7× 43 0.7× 22 293
Eleonora Palluzzi Italy 9 177 1.1× 112 1.1× 25 0.3× 110 1.5× 43 0.7× 18 307
A.M. Newtson United States 11 132 0.8× 78 0.8× 26 0.3× 82 1.2× 128 2.1× 28 300
ME Sherman United States 5 145 0.9× 50 0.5× 33 0.4× 81 1.1× 78 1.3× 6 348
Takuhei Yokoyama Japan 11 141 0.8× 107 1.1× 39 0.5× 117 1.6× 63 1.0× 17 399
Daniel Y. Paik United States 9 143 0.9× 92 0.9× 68 0.8× 107 1.5× 39 0.6× 11 350
Shannon MacLaughlan United States 9 156 0.9× 34 0.3× 45 0.6× 88 1.2× 143 2.3× 15 397
Beata Maćkowiak-Matejczyk Poland 8 125 0.7× 66 0.7× 39 0.5× 96 1.4× 28 0.5× 14 243
Pi‐Lin Sung Taiwan 12 109 0.7× 108 1.1× 31 0.4× 82 1.2× 56 0.9× 16 340
Kristen Bunch United States 8 94 0.6× 38 0.4× 64 0.8× 101 1.4× 50 0.8× 18 311

Countries citing papers authored by Marcin Jędryka

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Jędryka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Jędryka

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Jędryka. A scholar is included among the top collaborators of Marcin Jędryka 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 Marcin Jędryka. Marcin Jędryka 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.
Jędryka, Marcin, et al.. (2025). Superparamagnetic Iron Oxide Nanoparticles as a Tracer for Sentinel Lymph Node Mapping in Endometrial Cancer. International Journal of Molecular Sciences. 26(2). 781–781. 1 indexed citations
2.
Kratz, Ewa Maria, et al.. (2024). The Degree of Branching of Serum IgG N-glycans as a Marker of Advanced Endometriosis. Molecules. 29(21). 5136–5136.
3.
Manzour, Nabil, Luis Chiva, Constantijne H. Mom, et al.. (2024). #950 SUCCOR 10 years: vision a decade after radical surgery as primary treatment for cervical cancer. A570.1–A570. 1 indexed citations
4.
Łaczmańska, Izabela, et al.. (2023). Fast and reliable Sanger POLE sequencing protocol in FFPE tissues of endometrial cancer. Pathology - Research and Practice. 242. 154315–154315. 3 indexed citations
5.
Krotkiewski, Hubert, et al.. (2023). GC-MS analysis of the composition of serum IgG glycans as a potential diagnostic marker of advanced endometriosis – Preliminary report. Clinica Chimica Acta. 548. 117489–117489. 4 indexed citations
6.
Krotkiewski, Hubert, et al.. (2022). The Alterations of Serum IgG Fucosylation as a Potential Additional New Diagnostic Marker in Advanced Endometriosis. SHILAP Revista de lepidopterología. 10 indexed citations
7.
Kokot, Izabela, Sylwester Mazurek, Agnieszka Piwowar, et al.. (2022). ATR‐IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis. Oxidative Medicine and Cellular Longevity. 2022(1). 4777434–4777434. 7 indexed citations
8.
Krotkiewski, Hubert, et al.. (2021). Variability of serum IgG sialylation and galactosylation degree in women with advanced endometriosis. Scientific Reports. 11(1). 5586–5586. 16 indexed citations
9.
Jędryka, Marcin, et al.. (2020). Superparamagnetic iron oxide: a novel tracer for sentinel lymph node detection in vulvar cancer. International Journal of Gynecological Cancer. 30(9). 1280–1284. 10 indexed citations
10.
Jędryka, Marcin, et al.. (2019). An update of the cervical cancer staging system as of 2019. 17(1). 10–18. 1 indexed citations
11.
Matkowski, Rafał, et al.. (2019). Circulating Endometrial Cells: A New Source of Information on Endometriosis Dynamics. Journal of Clinical Medicine. 8(11). 1938–1938. 12 indexed citations
12.
Jędryka, Marcin, et al.. (2018). Hysterectomy in Poland between 2011 and 2016. Changing trends in the surgical approach to hysterectomy. Ginekologia Polska. 89(10). 529–535. 8 indexed citations
13.
Kološtová, Katarína, et al.. (2018). Correlation Between Disease Stage and the Presence of Viable Circulating Tumor Cells in Endometrial Cancer. Anticancer Research. 38(5). 2983–2987. 13 indexed citations
14.
Orzechowska, Beata, Marcin Jędryka, Katarzyna Zwolińska, & Rafał Matkowski. (2017). VSV based virotherapy in ovarian cancer: the past, the present and …future?. Journal of Cancer. 8(12). 2369–2383. 12 indexed citations
15.
Kološtová, Katarína, et al.. (2015). The added value of circulating tumor cells examination in ovarian cancer staging.. PubMed. 5(11). 3363–75. 45 indexed citations
16.
Jędryka, Marcin, et al.. (2012). Matrix metalloproteinase (MMP)-2 and MMP-9 Expression in Tumor Infiltrating CD3 Lymphocytes From Women With Endometrial Cancer. International Journal of Gynecological Cancer. 22(8). 1303–1309. 13 indexed citations
17.
Kupryjańczyk, Jolanta, Radosław Mądry, Joanna Plisiecka-Hałasa, et al.. (2004). TP53 status determines clinical significance of ERBB2 expression in ovarian cancer. British Journal of Cancer. 91(11). 1916–1923. 30 indexed citations
18.
Goluda, M, et al.. (2002). [Ovarian cancer in a pregnant woman and limited treatment strategy--a case report].. PubMed. 73(4). 346–9. 1 indexed citations
19.
Jędryka, Marcin, et al.. (2002). [Own experiences in salvage chemotherapy of ovarian cancer--a preliminary report].. PubMed. 73(11). 1048–52. 1 indexed citations
20.
Międzybrodzki, Ryszard, et al.. (2001). [VEGF, TNF-alpha and IL-6 in the peritoneal fluid of women with unexplained infertility].. PubMed. 72(5). 427–30. 1 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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