S Sułkowski

3.4k citations
200 papers · 2.8k · h-index 27

Impact in

Papers in

    • Connexins and lens biology 15
    • Heat shock proteins research 8
    • Metabolism, Diabetes, and Cancer 7
    • Cancer-related Molecular Pathways 11

S Sułkowski

192 papers receiving 2.7k citations

Peers

S Sułkowski
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 334
  • Cancer Research 533
  • Oncology 451
  • Molecular Biology 1.2k
  • Microbiology 101
Replace Trinidad Montero‐Melendez with:
Trinidad Montero‐Melendez United Kingdom
Michitaka Ozaki Japan
Luciano Ottonello Italy
Franck Peiretti France
P H Pekala United States
Tanveer Ahmad India
Alessio Nencioni Italy
Hidemi Yoshida Japan
Robert G. Kilbourn United States
Mark A. Giembycz United States
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Citations per field
00.5×1.5×2.1×
Trinidad Montero‐Melendez · 1×
Citations per year

Countries citing papers authored by S Sułkowski

Since Specialization
Citations

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

Fields of papers citing papers by S Sułkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006315
2 2005235
3 2006126
4 2001106
5 200794
6 200770
7 201451
8 200247
9 199847
10 200547
11 200745
12 200643
13 200542
14 200541
15 200838
16 200738
17 200536
18 200636
19 200735
20
Antioxidant potential in esophageal, stomach and colorectal cancers.
200334

About S Sułkowski

S Sułkowski is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 200 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (21 papers), Connexins and lens biology (15 papers), Cancer-related Molecular Pathways (11 papers), Neonatal Respiratory Health Research (11 papers), Estrogen and related hormone effects (8 papers), Heat shock proteins research (8 papers), Ocular Oncology and Treatments (8 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (334 citations), Cancer Research (533 citations), Oncology (451 citations), Molecular Biology (1.2k citations) and Microbiology (101 citations). S Sułkowski has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include M Sulkowska, Mariusz Koda, Andrzej Wincewicz, Eva Surmacz, Barbara Szachowicz‐Petelska, Zbigniew A. Figaszewski, Izabela Dobrzyńska, M Baltaziak, Jolanta Gołaszewska and Antonio Russo. Their work appears in journals such as Annals of the New York Academy of Sciences, Oncology Reports, Pathology & Oncology Research, Journal of Clinical Pathology and Experimental and Toxicologic 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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