S Sułkowski

3.5k citations
204 papers · 2.9k · h-index 28

Impact in

Papers in

    • Connexins and lens biology 16
    • Heat shock proteins research 11
    • Metabolism, Diabetes, and Cancer 10
    • Cancer-related Molecular Pathways 13

S Sułkowski

195 papers receiving 2.8k citations

Peers

S Sułkowski
Comparison fields: 5 of 118
  • Endocrine and Autonomic Systems 355
  • Cancer Research 655
  • Oncology 575
  • Molecular Biology 1.4k
  • Microbiology 103
Replace Maik Drechsler with:
Maik Drechsler Germany
Carole Peyssonnaux France
P H Pekala United States
Weidong Zhu China
Kei Satoh Japan
Salvatore Mancuso Italy
Jun Hee Lee South Korea
Tanveer Ahmad India
Tian‐Quan Cai United States
Eric S. Silverman United States
S Sułkowski relative to Maik Drechsler Germany Maik Drechsler's profile →
Citations per field
00.5×3.7×
Maik Drechsler · 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 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006314
2 2005233
3 2006126
4 2001106
5 200795
6 200770
7 200768
8 201451
9 199847
10 200247
11 200547
12 200745
13 200643
14 200542
15 200541
16 200838
17 200738
18 200536
19 200636
20 200735

About S Sułkowski

S Sułkowski is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 204 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (24 papers), Connexins and lens biology (16 papers), Cancer-related Molecular Pathways (13 papers), Heat shock proteins research (11 papers), Neonatal Respiratory Health Research (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Estrogen and related hormone effects (9 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (355 citations), Cancer Research (655 citations), Oncology (575 citations), Molecular Biology (1.4k citations) and Microbiology (103 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, Zbigniew A. Figaszewski, Barbara Szachowicz‐Petelska, Izabela Dobrzyńska, M Baltaziak, Antonio Russo and Sandra Cascio. Their work appears in journals such as Annals of the New York Academy of Sciences, Oncology Reports, Pathology & Oncology Research, Molecular and Cellular Biochemistry 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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