Marek Spaczyński

106 papers receiving 1.7k citations

Peers

Marek Spaczyński
Comparison fields: 5 of 115
  • Reproductive Medicine 318
  • Oncology 567
  • Obstetrics and Gynecology 162
  • Cancer Research 252
  • Immunology 299
Replace Jae Hong No with:
Jae Hong No South Korea
David Cantú de León Mexico
Isamu Ishiwata Japan
Kevin H. Eng United States
Kathleen C. Torkko United States
Thomas Bauknecht Germany
Janice M. Lage United States
Elisa Schmoeckel Germany
Vicki V. Baker United States
Thangarajan Rajkumar India
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Citations per year

Countries citing papers authored by Marek Spaczyński

Since Specialization
Citations

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

Fields of papers citing papers by Marek Spaczyński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009199
2 2008129
3 200687
4 200582
5 200170
6 200766
7 201758
8
CD46 expression is indicative of shorter revival-free survival for ovarian cancer patients.
200753
9
Loss of estrogen receptor beta expression correlates with shorter overall survival and lack of clinical response to chemotherapy in ovarian cancer patients.
201147
10 201146
11 200641
12 200840
13 201038
14 200936
15 200534
16 201133
17 201430
18 201429
19 200728
20 201827

About Marek Spaczyński

Marek Spaczyński is a scholar working on Oncology, Epidemiology, Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 112 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (23 papers), Ovarian cancer diagnosis and treatment (18 papers), Cancer Risks and Factors (10 papers), Estrogen and related hormone effects (7 papers), Hepatitis B Virus Studies (6 papers), Trace Elements in Health (5 papers), Nutrition and Health Studies (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). The work is most often cited by research in Reproductive Medicine (318 citations), Oncology (567 citations), Obstetrics and Gynecology (162 citations), Cancer Research (252 citations) and Immunology (299 citations). Marek Spaczyński has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Ewa Nowak‐Markwitz, M. Zabel, Paweł Surowiak, Hermann Lage, Verena Materna, Manfred Dietel, Witold Kędzia, Marta Szajnik, Mirosław J. Szczepański and Tino F. Schwarz. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Gynecological Cancer, Clinical Cancer Research, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Human Vaccines.

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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