Mark D. Scott

4.2k total citations
85 papers, 3.2k citations indexed

About

Mark D. Scott is a scholar working on Hematology, Physiology and Molecular Biology. According to data from OpenAlex, Mark D. Scott has authored 85 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Hematology, 34 papers in Physiology and 17 papers in Molecular Biology. Recurrent topics in Mark D. Scott's work include Erythrocyte Function and Pathophysiology (34 papers), Blood groups and transfusion (22 papers) and Blood transfusion and management (14 papers). Mark D. Scott is often cited by papers focused on Erythrocyte Function and Pathophysiology (34 papers), Blood groups and transfusion (22 papers) and Blood transfusion and management (14 papers). Mark D. Scott collaborates with scholars based in Canada, United States and United Kingdom. Mark D. Scott's co-authors include John W. Eaton, Kari L. Murad, Steven R. Meshnick, Bertram H. Lubin, Jayachandran N. Kizhakkedathu, Amanda J. Bradley, F A Kuypers, Hongshen Ma, Frans A. Kuypers and Yves Beuzard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Mark D. Scott

84 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark D. Scott Canada 34 867 838 682 456 365 85 3.2k
Thomas Simmet Germany 41 2.3k 2.7× 317 0.4× 550 0.8× 293 0.6× 215 0.6× 145 5.5k
Paul W. Buehler United States 42 2.3k 2.7× 1.5k 1.8× 669 1.0× 248 0.5× 1.0k 2.8× 141 5.4k
Xi Yuan Sweden 36 1.3k 1.5× 257 0.3× 294 0.4× 532 1.2× 164 0.4× 100 3.1k
R L Hoover United States 28 1.6k 1.8× 636 0.8× 312 0.5× 447 1.0× 205 0.6× 49 3.8k
Mark S. Baker Australia 42 2.7k 3.2× 429 0.5× 413 0.6× 278 0.6× 115 0.3× 156 5.6k
Yusuf Baran Türkiye 33 2.2k 2.5× 172 0.2× 397 0.6× 163 0.4× 304 0.8× 106 4.1k
Abdu I. Alayash United States 43 3.5k 4.0× 2.1k 2.5× 601 0.9× 254 0.6× 1.3k 3.4× 151 6.6k
Florian Krötz Germany 26 1.4k 1.6× 354 0.4× 229 0.3× 283 0.6× 63 0.2× 64 3.9k
Hiroyuki Tsuchiya Japan 31 1.3k 1.5× 210 0.3× 186 0.3× 315 0.7× 159 0.4× 164 3.1k
Xiaofang Wang China 33 1.7k 1.9× 296 0.4× 198 0.3× 293 0.6× 307 0.8× 216 3.9k

Countries citing papers authored by Mark D. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Scott. 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 Mark D. Scott. The network helps show where Mark D. Scott may publish in the future.

Co-authorship network of co-authors of Mark D. Scott

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

All Works

20 of 20 papers shown
1.
Matthews, Kerryn, et al.. (2021). Blood unit segments accurately represent the biophysical properties of red blood cells in blood bags but not hemolysis. Transfusion. 62(2). 448–456. 8 indexed citations
2.
Matthews, Kerryn, et al.. (2019). Deformability Based Sorting of Stored Red Blood Cells Reveals Donor-Dependent Aging Curves. Blood. 134(Supplement_1). 3694–3694. 4 indexed citations
3.
Matthews, Kerryn, et al.. (2019). Deformability based sorting of stored red blood cells reveals donor-dependent aging curves. Lab on a Chip. 20(2). 226–235. 41 indexed citations
4.
Kang, Ning, et al.. (2018). Microfluidic determination of lymphocyte vascular deformability: effects of intracellular complexity and early immune activation. Integrative Biology. 10(4). 207–217. 7 indexed citations
5.
Kang, Ning, et al.. (2018). Enhancing the pro-inflammatory anti-cancer T cell response via biomanufactured, secretome-based, immunotherapeutics. Immunobiology. 224(2). 270–284. 4 indexed citations
7.
Matthews, Kerryn, et al.. (2015). Microfluidic deformability analysis of the red cell storage lesion. Journal of Biomechanics. 48(15). 4065–4072. 43 indexed citations
8.
Chapanian, Rafi, Iren Constantinescu, Donald E. Brooks, Mark D. Scott, & Jayachandran N. Kizhakkedathu. (2013). Antigens Protected Functional Red Blood Cells By The Membrane Grafting Of Compact Hyperbranched Polyglycerols. Journal of Visualized Experiments. 3 indexed citations
9.
Le, Yevgeniya, et al.. (2012). Immunocamouflage of latex surfaces by grafted methoxypoly(ethylene glycol) (mPEG): Proteomic analysis of plasma protein adsorption. Science China Life Sciences. 55(3). 191–201. 7 indexed citations
10.
Rossi, Nicholas A., John K. Jackson, Helen M. Burt, et al.. (2008). In vitro chelating, cytotoxicity, and blood compatibility of degradable poly(ethylene glycol)-based macromolecular iron chelators. Biomaterials. 30(4). 638–648. 83 indexed citations
11.
Scott, Mark D., et al.. (2006). Comparative Analysis of Polymer and Linker Chemistries on the Efficacy of Immunocamouflage of Murine Leukocytes. Artificial Cells Blood Substitutes and Biotechnology. 34(3). 305–322. 19 indexed citations
12.
Burton, Nick, Bill Hill, Duncan Davidson, et al.. (2005). JAtlasView: a Java atlas-viewer for browsing biomedical 3D images and atlases. BMC Bioinformatics. 6(1). 47–47. 13 indexed citations
13.
Lau, Charles T., et al.. (2005). Dacron-covered Stent-Grafts in Transjugular Intrahepatic Portosystemic Shunts: Initial Experience. Radiology. 236(2). 725–729. 5 indexed citations
14.
Bradley, Amanda J., et al.. (2002). Biophysical consequences of linker chemistry and polymer size on stealth erythrocytes: size does matter. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1561(2). 147–158. 85 indexed citations
15.
Evans, David F., et al.. (1996). Antireflux operations at flexible endoscopy using endoluminal stitching techniques: an experimental study. Gastrointestinal Endoscopy. 44(2). 133–143. 71 indexed citations
16.
Scott, Mark D. & John W. Eaton. (1995). Thalassaemic erythrocytes: cellular suicide arising from iron and glutathione‐dependent oxidation reactions?. British Journal of Haematology. 91(4). 811–819. 43 indexed citations
17.
Haskal, Ziv J., Mark D. Scott, Raymond A. Rubin, & Constantin Cope. (1994). Intestinal varices: treatment with the transjugular intrahepatic portosystemic shunt.. Radiology. 191(1). 183–187. 86 indexed citations
18.
Minetti, Maurizio, Cinzia Mallozzi, Giuseppe Scorza, et al.. (1993). Role of Oxygen and Carbon Radicals in Hemoglobin Oxidation. Archives of Biochemistry and Biophysics. 302(1). 233–244. 40 indexed citations
19.
Scott, Mark D., et al.. (1990). Parasite uptake of desferroxamine: a prerequisite for antimalarial activity. British Journal of Haematology. 75(4). 598–602. 50 indexed citations
20.
Rouyer‐Fessard, Philippe, Mark D. Scott, Karen Leroy, et al.. (1990). Fate of α‐Hemoglobin Chains and Erythrocyte Defects in β‐Thalassemiaa. Annals of the New York Academy of Sciences. 612(1). 106–117. 8 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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