Maria Marczak

459 total citations
19 papers, 389 citations indexed

About

Maria Marczak is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Maria Marczak has authored 19 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Maria Marczak's work include Angiogenesis and VEGF in Cancer (5 papers), Ancient and Medieval Archaeology Studies (3 papers) and Historical and Archaeological Studies (3 papers). Maria Marczak is often cited by papers focused on Angiogenesis and VEGF in Cancer (5 papers), Ancient and Medieval Archaeology Studies (3 papers) and Historical and Archaeological Studies (3 papers). Maria Marczak collaborates with scholars based in Poland, Austria and Switzerland. Maria Marczak's co-authors include Stefania Jabłońska, Sławomir Majewski, Anna Dąbrowska‐Iwanicka, Wojciech Feleszko, Anna Czajka, Marek Jakóbisiak, Adam Giermasz, Bernd Benninghoff, Beata Młynarczyk-Bonikowska and Jakub Gołąb and has published in prestigious journals such as International Journal of Cancer, Journal of Investigative Dermatology and Life Sciences.

In The Last Decade

Maria Marczak

19 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Marczak Poland 10 168 117 108 98 62 19 389
Francesco Turturro United States 13 245 1.5× 132 1.1× 83 0.8× 83 0.8× 52 0.8× 33 525
Xiu‐Xian Wu Japan 13 295 1.8× 144 1.2× 55 0.5× 66 0.7× 71 1.1× 26 482
Aimee L Leonard United States 8 169 1.0× 173 1.5× 79 0.7× 33 0.3× 49 0.8× 16 433
Liang-Ping Xia China 9 206 1.2× 181 1.5× 48 0.4× 77 0.8× 23 0.4× 13 424
Ching-Yuan Wu Taiwan 11 423 2.5× 191 1.6× 68 0.6× 136 1.4× 28 0.5× 13 598
Gayle Marshall United Kingdom 10 322 1.9× 173 1.5× 51 0.5× 90 0.9× 29 0.5× 22 595
Carla Azzurra Amoreo Italy 15 249 1.5× 193 1.6× 45 0.4× 148 1.5× 63 1.0× 25 492
Suryanaryana V.S. Deo India 8 264 1.6× 140 1.2× 45 0.4× 117 1.2× 38 0.6× 8 454
R G Wickremasinghe United Kingdom 16 299 1.8× 92 0.8× 72 0.7× 71 0.7× 14 0.2× 25 537
Hexiao Wang China 10 346 2.1× 139 1.2× 69 0.6× 134 1.4× 61 1.0× 18 538

Countries citing papers authored by Maria Marczak

Since Specialization
Citations

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

Fields of papers citing papers by Maria Marczak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Marczak

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

All Works

19 of 19 papers shown
1.
Oniszh, Karina, Regina Podlasin, Maria Marczak, et al.. (2022). Atypical Pulmonary Tuberculosis as the First Manifestation of Advanced HIV Disease—Diagnostic Difficulties. Diagnostics. 12(8). 1886–1886. 4 indexed citations
2.
Majewski, Sławomir, Maria Marczak, Beata Młynarczyk-Bonikowska, Bernd Benninghoff, & Stefania Jabłońska. (2004). Imiquimod is a strong inhibitor of tumor cell‐induced angiogenesis. International Journal of Dermatology. 44(1). 14–19. 58 indexed citations
3.
Marczak, Maria, et al.. (2004). The adrenergic and cholinergic innervation of the chicken vas deferens.. PubMed. 63(4). 377–9. 2 indexed citations
4.
Dąbrowska‐Iwanicka, Anna, Ahmad Jalili, Marcin Makowski, et al.. (2002). Augmented antitumour effects of combination therapy with TNP-470 and chemoimmunotherapy in mice. Journal of Cancer Research and Clinical Oncology. 128(8). 433–442. 6 indexed citations
5.
Giermasz, Adam, Dominika Nowis, Ahmad Jalili, et al.. (2001). Antitumor activity of tributyrin in murine melanoma model. Cancer Letters. 164(2). 143–148. 13 indexed citations
6.
Gołąb, Jakub, Katarzyna Kozar, Rafał Kamiński, et al.. (2000). Interleukin 12 and indomethacin exert a synergistic, angiogenesis-dependent antitumor activity in mice. Life Sciences. 66(13). 1223–1230. 12 indexed citations
7.
Stokłosa, Tomasz, Anna Czajka, Anna Dąbrowska‐Iwanicka, et al.. (2000). Synergistic antitumor effects of a selective proteasome inhibitor and TNF in mice.. PubMed. 20(3A). 1717–21. 25 indexed citations
8.
Dąbrowska, Anna, Adam Giermasz, Maria Marczak, Jakub Gołąb, & Marek Jakóbisiak. (2000). Potentiated antitumor effects of interleukin 12 and matrix metalloproteinase inhibitor batimastat against B16F10 melanoma in mice.. PubMed. 20(1A). 391–4. 9 indexed citations
9.
Feleszko, Wojciech, Maria Marczak, Anna Dąbrowska‐Iwanicka, et al.. (1999). Lovastatin and tumor necrosis factor‐α exhibit potentiated antitumor effects against Ha‐ras‐transformed murine tumor Via inhibition of tumor‐induced angiogenesis. International Journal of Cancer. 81(4). 560–567. 1 indexed citations
10.
Feleszko, Wojciech, et al.. (1999). Lovastatin and tumor necrosis factor-? exhibit potentiated antitumor effects against Ha-ras-transformed murine tumorVia inhibition of tumor-induced angiogenesis. International Journal of Cancer. 81(4). 560–567. 84 indexed citations
11.
Lasek, Witold, Wojciech Feleszko, Jakub Gołąb, et al.. (1997). Antitumor effects of the combination immunotherapy with interleukin-12 and tumor necrosis factor α in mice. Cancer Immunology Immunotherapy. 45(2). 100–108. 57 indexed citations
12.
Majewski, Sławomir, et al.. (1996). Interleukin-12 Inhibits Angiogenesis Induced by Human Tumor Cell Lines In Vivo. Journal of Investigative Dermatology. 106(5). 1114–1118. 55 indexed citations
13.
Rudnicka, Lidia, et al.. (1991). Acitretin Decreases Tumor Cell-Induced Angiogenesis. Skin Pharmacology and Physiology. 4(3). 150–153. 16 indexed citations
14.
Marczak, Maria, et al.. (1986). Enhanced Angiogenic Capability of Monocyte-Enriched Mononuclear Cell Suspensions from Patients with Systemic Scleroderma. Journal of Investigative Dermatology. 86(4). 355–358. 11 indexed citations
15.
Majewski, Sławomir, et al.. (1985). Modulatory effect of sera from scleroderma patients on lymphocyte‐induced angiogenesis. Arthritis & Rheumatism. 28(10). 1133–1139. 25 indexed citations
16.
Jakóbisiak, Marek, et al.. (1981). Decreased Antibody‐Dependent Cellular Cytotoxicity in Various Types of Leukaemia in Man. Scandinavian Journal of Haematology. 27(3). 181–185. 6 indexed citations
17.
Marczak, Maria. (1964). Najstarszy mezolit Mazowsza w świetle dotychczasowych odkryć we wsi Stawinoga, pow. Pułtusk. Archeologia Polski. 9(1). 39–45. 2 indexed citations
18.
Marczak, Maria. (1963). Wyniki badań mezolitycznego stanowiska we wsi Stawinoga, pow. Pułtusk. Sprawozdania Archeologiczne. 15. 20–31. 2 indexed citations
19.
Marczak, Maria. (1962). Sprawozdanie z eksploracji wykopu VII we wsi Poddębe, pow. Nowy Dwór. Sprawozdania Archeologiczne. 14. 11–23. 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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