Mary T. Walsh

2.1k total citations
43 papers, 1.8k citations indexed

About

Mary T. Walsh is a scholar working on Molecular Biology, Cell Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mary T. Walsh has authored 43 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Cell Biology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mary T. Walsh's work include Glycosylation and Glycoproteins Research (6 papers), Lipid Membrane Structure and Behavior (6 papers) and Protein Structure and Dynamics (5 papers). Mary T. Walsh is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Lipid Membrane Structure and Behavior (6 papers) and Protein Structure and Dynamics (5 papers). Mary T. Walsh collaborates with scholars based in United States, Germany and Belgium. Mary T. Walsh's co-authors include David Atkinson, Donald Small, Asok C. Sen, Buddhapriya Chakrabarti, David P. Cistola, James C. Sacchettini, Jeffrey I. Gordon, Leonard Banaszak, Mary Walker and Tohru Kataoka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Mary T. Walsh

43 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary T. Walsh United States 24 944 280 261 239 235 43 1.8k
Pramod M. Lad United States 25 1.1k 1.2× 338 1.2× 281 1.1× 137 0.6× 322 1.4× 67 2.0k
Orestes Tsolas Greece 25 677 0.7× 138 0.5× 194 0.7× 218 0.9× 156 0.7× 66 1.6k
Begoña Ochoa Spain 26 1.2k 1.3× 269 1.0× 445 1.7× 354 1.5× 158 0.7× 103 2.4k
Jaime Mas‐Oliva Mexico 24 968 1.0× 207 0.7× 328 1.3× 174 0.7× 235 1.0× 106 1.9k
Geetha M. Habib United States 17 1.3k 1.3× 180 0.6× 179 0.7× 152 0.6× 164 0.7× 30 2.0k
J. Masliah France 27 905 1.0× 275 1.0× 231 0.9× 65 0.3× 259 1.1× 61 2.0k
William W. Carley United States 23 794 0.8× 247 0.9× 158 0.6× 113 0.5× 278 1.2× 38 1.8k
W. Jessup Australia 22 713 0.8× 225 0.8× 596 2.3× 119 0.5× 447 1.9× 42 2.0k
Donald Gantz United States 26 746 0.8× 198 0.7× 392 1.5× 328 1.4× 172 0.7× 59 1.6k
Galina Polekhina Australia 20 2.2k 2.3× 220 0.8× 357 1.4× 115 0.5× 144 0.6× 56 2.8k

Countries citing papers authored by Mary T. Walsh

Since Specialization
Citations

This map shows the geographic impact of Mary T. Walsh'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 Mary T. Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary T. Walsh more than expected).

Fields of papers citing papers by Mary T. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary T. Walsh. 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 Mary T. Walsh. The network helps show where Mary T. Walsh may publish in the future.

Co-authorship network of co-authors of Mary T. Walsh

This figure shows the co-authorship network connecting the top 25 collaborators of Mary T. Walsh. A scholar is included among the top collaborators of Mary T. Walsh 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 Mary T. Walsh. Mary T. Walsh 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.
2.
Walker, Mary, et al.. (2012). A less stressful alternative to oral gavage for pharmacological and toxicological studies in mice. Toxicology and Applied Pharmacology. 260(1). 65–69. 96 indexed citations
3.
Zhang, Nan, Larry N Agbor, Jason A. Scott, et al.. (2010). An activated renin–angiotensin system maintains normal blood pressure in aryl hydrocarbon receptor heterozygous mice but not in null mice. Biochemical Pharmacology. 80(2). 197–204. 29 indexed citations
4.
Wang, Libo, Mary T. Walsh, & Donald Small. (2006). Apolipoprotein B is conformationally flexible but anchored at a triolein/water interface: A possible model for lipoprotein surfaces. Proceedings of the National Academy of Sciences. 103(18). 6871–6876. 48 indexed citations
5.
Trinkaus‐Randall, Vickery, et al.. (2005). Cellular Response of Cardiac Fibroblasts to Amyloidogenic Light Chains. American Journal Of Pathology. 166(1). 197–208. 40 indexed citations
6.
7.
Brown, Christopher T., Peter Ping Lin, Mary T. Walsh, et al.. (2002). Extraction and purification of decorin from corneal stroma retain structure and biological activity. Protein Expression and Purification. 25(3). 389–399. 19 indexed citations
8.
9.
Gantz, Donald, Mary T. Walsh, & Donald Small. (2000). Morphology of sodium deoxycholate-solubilized apolipoprotein B-100 using negative stain and vitreous ice electron microscopy. Journal of Lipid Research. 41(9). 1464–1472. 22 indexed citations
10.
Rauch, Joyce, Michael A. Shia, Mary T. Walsh, et al.. (1996). Anti-phospholipid autoantibodies bind to apoptotic, but not viable, thymocytes in a β 2-glycoprotein I-dependent manner. The Journal of Immunology. 157(5). 2201–2208. 162 indexed citations
11.
12.
Watzlawick, Hildegard, Mary T. Walsh, Yujiro Yoshioka, Karl Schmid, & Reinhard Brossmer. (1992). Structure of the N- and O-glycans of the A-chain of human plasma .alpha.2HS-glycoprotein as deduced from the chemical compositions of the derivatives prepared by stepwise degradation with exoglycosidases. Biochemistry. 31(48). 12198–12203. 29 indexed citations
13.
Sen, Asok C., Mary T. Walsh, & Buddhapriya Chakrabarti. (1992). An insight into domain structures and thermal stability of gamma-crystallins.. Journal of Biological Chemistry. 267(17). 11898–11907. 17 indexed citations
14.
Walsh, Mary T., Asok C. Sen, & Buddhapriya Chakrabarti. (1991). Micellar subunit assembly in a three-layer model of oligomeric alpha-crystallin.. Journal of Biological Chemistry. 266(30). 20079–20084. 114 indexed citations
15.
Walsh, Mary T., Hildegard Watzlawick, Frank W. Putnam, Karl Schmid, & Reinhard Brossmer. (1990). Effect of the carbohydrate moiety on the secondary structure of .beta.2-glycoprotein. I. Implications for the biosynthesis and folding of glycoproteins. Biochemistry. 29(26). 6250–6257. 46 indexed citations
16.
Lin, Thy‐Hou, Thomas P. Quinn, Duane P. Grandgenett, & Mary T. Walsh. (1989). Secondary structural analysis of retrovirus integrase: Characterization by circular dichroism and empirical prediction methods. Proteins Structure Function and Bioinformatics. 5(2). 156–165. 15 indexed citations
17.
Walsh, Mary T., James A. Hamilton, David Atkinson, & Donald Small. (1988). Secondary and Tertiary Structure of Apolipoproteins. Advances in experimental medicine and biology. 243. 123–132. 1 indexed citations
18.
Walsh, Mary T. & David Atkinson. (1987). Physical properties of apoprotein B in mixed micelles with sodium deoxycholate and in a vesicle with dimyristoyl phosphatidylcholine.. Journal of Lipid Research. 27(3). 316–325. 19 indexed citations
19.
Walsh, Mary T., et al.. (1980). Glucagon and Insulin Secretion by Islets of Lean and Obese (ob/ob) Mice. Hormone and Metabolic Research. 12(1). 39–40. 7 indexed citations
20.
Melchior, Donald L., et al.. (1977). Thermal techniques in biomembrane and lipoprotein research. Thermochimica Acta. 18(1). 43–71. 18 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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