M Sulkowska

2.4k citations
129 papers · 2.0k · h-index 23

Impact in

Papers in

    • Connexins and lens biology 12
    • Metabolism, Diabetes, and Cancer 6
    • Cancer-related Molecular Pathways 11

M Sulkowska

126 papers receiving 2.0k citations

Peers

M Sulkowska
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 325
  • Cancer Research 441
  • Oncology 354
  • Molecular Biology 853
  • Epidemiology 287
Replace Mariusz Koda with:
Mariusz Koda Poland
Ruben R. Gonzalez‐Perez United States
Carine Chavey France
Yueh‐Min Lin Taiwan
Zheng‐Gen Jin United States
Michael E. Grossmann United States
Matthias Woenckhaus Germany
Mollie Ranalletta United States
Shinji Mizuarai Japan
Songbai Lin United States
M Sulkowska relative to Mariusz Koda Poland Mariusz Koda's profile →
Citations per field
00.5×1.5×
Mariusz Koda · 1×
Citations per year

Countries citing papers authored by M Sulkowska

Since Specialization
Citations

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

Fields of papers citing papers by M Sulkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006315
2 2006126
3 2001106
4 200794
5 200770
6 199847
7 200547
8 200745
9 200643
10 200542
11 200541
12 200738
13 200735
14
Antioxidant potential in esophageal, stomach and colorectal cancers.
200334
15 200433
16
Gradual loss of functional gap junction within progression of colorectal cancer -- a shift from membranous CX32 and CX43 expression to cytoplasmic pattern during colorectal carcinogenesis.
201031
17
Expression of connexin 43 in breast cancer in comparison with mammary dysplasia and the normal mammary gland.
200331
18 201029
19 200729
20 200426

About M Sulkowska

M Sulkowska is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 129 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (17 papers), Connexins and lens biology (12 papers), Cancer-related Molecular Pathways (11 papers), Neonatal Respiratory Health Research (9 papers), Cancer, Lipids, and Metabolism (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Estrogen and related hormone effects (6 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (325 citations), Cancer Research (441 citations), Oncology (354 citations), Molecular Biology (853 citations) and Epidemiology (287 citations). M Sulkowska has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include S Sułkowski, Mariusz Koda, Andrzej Wincewicz, Eva Surmacz, M Baltaziak, Jolanta Gołaszewska, Elźbieta Skrzydlewska, Sandra Cascio, Antonio Russo and Cecilia Garofalo. Their work appears in journals such as Annals of the New York Academy of Sciences, Oncology Reports, Journal of Clinical Pathology, Pathology & Oncology Research and Pathology.

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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