Witold Diakowski

537 total citations
19 papers, 438 citations indexed

About

Witold Diakowski is a scholar working on Physiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Witold Diakowski has authored 19 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 12 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Witold Diakowski's work include Erythrocyte Function and Pathophysiology (15 papers), Lipid Membrane Structure and Behavior (9 papers) and Blood properties and coagulation (6 papers). Witold Diakowski is often cited by papers focused on Erythrocyte Function and Pathophysiology (15 papers), Lipid Membrane Structure and Behavior (9 papers) and Blood properties and coagulation (6 papers). Witold Diakowski collaborates with scholars based in Poland, Germany and Australia. Witold Diakowski's co-authors include Aleksander F. Sikorski, Michał Grzybek, Ewa Bok, Dorota Diakowska, Anna Chorzalska, Anita Hryniewicz‐Jankowska, Aleksander Czogalla, Adam Jezierski, Jan Szopa and Krzysztof Grabowski and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Witold Diakowski

19 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Witold Diakowski Poland 13 278 248 112 102 41 19 438
V. I. Chubinskiy-Nadezhdin Russia 11 229 0.8× 168 0.7× 102 0.9× 68 0.7× 18 0.4× 38 397
Maria Sverdlov United States 9 297 1.1× 101 0.4× 240 2.1× 41 0.4× 29 0.7× 23 576
J P Steiner United States 12 267 1.0× 120 0.5× 132 1.2× 97 1.0× 38 0.9× 15 452
Melinda Procter United States 11 258 0.9× 198 0.8× 105 0.9× 107 1.0× 32 0.8× 19 500
Fiona Black United Kingdom 12 298 1.1× 106 0.4× 25 0.2× 123 1.2× 97 2.4× 24 578
Yumiko Taguchi Japan 9 254 0.9× 213 0.9× 156 1.4× 24 0.2× 34 0.8× 20 595
Jolanta Kordowska United States 12 407 1.5× 48 0.2× 109 1.0× 35 0.3× 22 0.5× 16 548
Christof Renner Germany 11 106 0.4× 177 0.7× 35 0.3× 34 0.3× 16 0.4× 17 533
Alicia Rodriguez‐Gabin United States 10 267 1.0× 128 0.5× 159 1.4× 14 0.1× 33 0.8× 19 436
Jeffrey Chiang United States 8 241 0.9× 102 0.4× 45 0.4× 21 0.2× 22 0.5× 10 409

Countries citing papers authored by Witold Diakowski

Since Specialization
Citations

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

Fields of papers citing papers by Witold Diakowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Witold Diakowski

This figure shows the co-authorship network connecting the top 25 collaborators of Witold Diakowski. A scholar is included among the top collaborators of Witold Diakowski 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 Witold Diakowski. Witold Diakowski 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.
Tian, Nan, Iryna Leshchyns’ka, Jeffrey Welch, et al.. (2012). Lipid Raft-dependent Endocytosis of Close Homolog of Adhesion Molecule L1 (CHL1) Promotes Neuritogenesis. Journal of Biological Chemistry. 287(53). 44447–44463. 26 indexed citations
2.
Wolny, Marcin, Michał Grzybek, Ewa Bok, et al.. (2011). Key Amino Acid Residues of Ankyrin-Sensitive Phosphatidylethanolamine/Phosphatidylcholine-Lipid Binding Site of βI-Spectrin. PLoS ONE. 6(6). e21538–e21538. 19 indexed citations
3.
4.
5.
Bok, Ewa, Anita Hryniewicz‐Jankowska, Anna Chorzalska, et al.. (2007). Lipid‐binding role of βII‐spectrin ankyrin‐binding domain. Cell Biology International. 31(12). 1482–1494. 12 indexed citations
6.
Czogalla, Aleksander, et al.. (2007). Structural insight into an ankyrin-sensitive lipid-binding site of erythroid β-spectrin. Molecular Membrane Biology. 24(3). 215–224. 18 indexed citations
7.
Diakowska, Dorota, et al.. (2007). Oxidative DNA damage and total antioxidant status in serum of patients with esophageal squamous cell carcinoma.. PubMed. 54(78). 1701–4. 40 indexed citations
8.
Dubielecka, Patrycja M., Witold Diakowski, Michał Grzybek, et al.. (2006). Mitoxantrone changes spectrin-aminophospholipid interactions. Molecular Membrane Biology. 23(3). 235–243. 5 indexed citations
9.
Grzybek, Michał, Anna Chorzalska, Ewa Bok, et al.. (2006). Spectrin–phospholipid interactions. Chemistry and Physics of Lipids. 141(1-2). 133–141. 42 indexed citations
10.
Diakowski, Witold, Michał Grzybek, & Aleksander F. Sikorski. (2006). Protein 4.1, a component of the erythrocyte membrane skeleton and its related homologue proteins forming the protein 4.1/FERM superfamily.. SHILAP Revista de lepidopterología. 44(4). 231–48. 76 indexed citations
11.
Diakowski, Witold, et al.. (2005). Cholesterol affects spectrin–phospholipid interactions in a manner different from changes resulting from alterations in membrane fluidity due to fatty acyl chain composition. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1758(1). 4–12. 20 indexed citations
12.
Diakowska, Dorota, et al.. (2005). [Abnormal metabolism of triglycerides fractions in chronic pancreatitis and results after the operation treatment].. PubMed. 18(108). 629–33. 3 indexed citations
13.
Hryniewicz‐Jankowska, Anita, Ewa Bok, Patrycja M. Dubielecka, et al.. (2004). Mapping of an ankyrin-sensitive, phosphatidylethanolamine/phosphatidylcholine mono- and bi-layer binding site in erythroid β-spectrin. Biochemical Journal. 382(2). 677–685. 36 indexed citations
14.
Diakowski, Witold, Jan Szopa, & Aleksander F. Sikorski. (2003). Occurrence of lipid receptors inferred from brain and erythrocyte spectrins binding NaOH-extracted and protease-treated neuronal and erythrocyte membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1611(1-2). 115–122. 7 indexed citations
15.
Diakowski, Witold & Aleksander F. Sikorski. (2002). Brain spectrin exerts much stronger effect on anionic phospholipid monolayers than erythroid spectrin. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1564(2). 403–411. 19 indexed citations
16.
Diakowski, Witold, et al.. (1999). Brain spectrin (fodrin) interacts with phospholipids as revealed by intrinsic fluorescence quenching and monolayer experiments. Biochemical Journal. 338(1). 83–90. 33 indexed citations
17.
Diakowski, Witold, et al.. (1999). Brain spectrin (fodrin) interacts with phospholipids as revealed by intrinsic fluorescence quenching and monolayer experiments. Biochemical Journal. 338(1). 83–83. 10 indexed citations
18.
Diakowski, Witold & Aleksander F. Sikorski. (1995). Interaction of brain spectrin (fodrin) with phospholipids. Biochemistry. 34(40). 13252–13258. 35 indexed citations
19.
Diakowski, Witold & Aleksander F. Sikorski. (1994). Brain spectrin interacts with membrane phospholipids.. Acta Biochimica Polonica. 41(2). 153–154. 2 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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