Mary Cherian‐Shaw

899 total citations
30 papers, 687 citations indexed

About

Mary Cherian‐Shaw is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Mary Cherian‐Shaw has authored 30 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Immunology. Recurrent topics in Mary Cherian‐Shaw's work include Sodium Intake and Health (6 papers), Nitric Oxide and Endothelin Effects (5 papers) and Reproductive Biology and Fertility (5 papers). Mary Cherian‐Shaw is often cited by papers focused on Sodium Intake and Health (6 papers), Nitric Oxide and Endothelin Effects (5 papers) and Reproductive Biology and Fertility (5 papers). Mary Cherian‐Shaw collaborates with scholars based in United States, Canada and Hungary. Mary Cherian‐Shaw's co-authors include Edathara C. Abraham, Charles L. Chaffin, Sibes Bera, Bhupesh Singla, Gábor Csányi, Pushpankur Ghoshal, Paul O’Connor, Muraly Puttabyatappa, Jin‐Xiong She and Eric J. Belin de Chantemèle and has published in prestigious journals such as PLoS ONE, Biochemistry and Scientific Reports.

In The Last Decade

Mary Cherian‐Shaw

29 papers receiving 679 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 Cherian‐Shaw United States 16 357 130 97 96 81 30 687
Hugues Jacobs France 11 480 1.3× 117 0.9× 84 0.9× 79 0.8× 152 1.9× 20 706
Hua Yuan China 10 323 0.9× 52 0.4× 40 0.4× 58 0.6× 38 0.5× 32 791
Ebbe Toftgaard Poulsen Denmark 18 241 0.7× 77 0.6× 108 1.1× 114 1.2× 27 0.3× 35 695
Ludivine Dion France 18 459 1.3× 86 0.7× 82 0.8× 29 0.3× 197 2.4× 55 804
Masashi Shin Japan 15 556 1.6× 130 1.0× 32 0.3× 139 1.4× 54 0.7× 58 920
Nora Müller Germany 18 239 0.7× 414 3.2× 53 0.5× 65 0.7× 53 0.7× 26 913
G. Bonatz Germany 13 216 0.6× 85 0.7× 54 0.6× 89 0.9× 55 0.7× 21 624
Jin Zheng China 13 284 0.8× 194 1.5× 58 0.6× 123 1.3× 37 0.5× 52 746
Jun Fu China 18 392 1.1× 108 0.8× 50 0.5× 49 0.5× 30 0.4× 61 839

Countries citing papers authored by Mary Cherian‐Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Mary Cherian‐Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Cherian‐Shaw. 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 Cherian‐Shaw. The network helps show where Mary Cherian‐Shaw may publish in the future.

Co-authorship network of co-authors of Mary Cherian‐Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Cherian‐Shaw. A scholar is included among the top collaborators of Mary Cherian‐Shaw 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 Cherian‐Shaw. Mary Cherian‐Shaw 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.
Dasinger, John Henry, Mary Cherian‐Shaw, Sadaf Hasan, et al.. (2025). Impact of Hematopoietic CD14 on Oxidative Stress during Salt-Sensitive Hypertension and Kidney Injury. Journal of the American Society of Nephrology. 36(10). 1954–1968.
2.
Dasinger, John Henry, et al.. (2024). Intact NOX2 in T Cells Mediates Pregnancy-Induced Renal Damage in Dahl SS Rats. Hypertension. 81(11). 2357–2367. 2 indexed citations
3.
Abais‐Battad, Justine M., John Henry Dasinger, Hayley Lund, et al.. (2024). Sex-Dependency of T Cell-Induced Salt-Sensitive Hypertension and Kidney Damage. Hypertension. 81(7). 1511–1523. 10 indexed citations
4.
Singla, Bhupesh, Frank Park, Maxwell A. Gyamfi, et al.. (2023). CD47 Activation by Thrombospondin-1 in Lymphatic Endothelial Cells Suppresses Lymphangiogenesis and Promotes Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 43(7). 1234–1250. 21 indexed citations
5.
6.
Singla, Bhupesh, Pushpankur Ghoshal, Mary Cherian‐Shaw, et al.. (2022). Receptor-independent fluid-phase macropinocytosis promotes arterial foam cell formation and atherosclerosis. Science Translational Medicine. 14(663). eadd2376–eadd2376. 28 indexed citations
7.
Singla, Bhupesh, Hui‐Ping Lin, Jiean Xu, et al.. (2021). Loss of myeloid cell-specific SIRPα, but not CD47, attenuates inflammation and suppresses atherosclerosis. Cardiovascular Research. 118(15). 3097–3111. 41 indexed citations
8.
Fehrenbach, Daniel J., Justine M. Abais‐Battad, John Henry Dasinger, et al.. (2020). Sexual Dimorphic Role of CD14 (Cluster of Differentiation 14) in Salt-Sensitive Hypertension and Renal Injury. Hypertension. 77(1). 228–240. 12 indexed citations
9.
Groß, Christine, et al.. (2020). Adenosine and ATPγS protect against bacterial pneumonia-induced acute lung injury. Scientific Reports. 10(1). 18078–18078. 7 indexed citations
10.
Ghoshal, Pushpankur, Bhupesh Singla, Hui‐Ping Lin, et al.. (2019). Loss of GTPase activating protein neurofibromin stimulates paracrine cell communication via macropinocytosis. Redox Biology. 27. 101224–101224. 13 indexed citations
11.
Singla, Bhupesh, et al.. (2018). PKCδ stimulates macropinocytosis via activation of SSH1-cofilin pathway. Cellular Signalling. 53. 111–121. 21 indexed citations
12.
Kovács‐Kása, Anita, et al.. (2017). Extracellular adenosine‐induced Rac1 activation in pulmonary endothelium: Molecular mechanisms and barrier‐protective role. Journal of Cellular Physiology. 233(8). 5736–5746. 11 indexed citations
13.
Kumar, Sanjiv, Zsuzsanna Bordán, Mary Cherian‐Shaw, et al.. (2017). Differential mechanisms of adenosine‐ and ATPγS‐induced microvascular endothelial barrier strengthening. Journal of Cellular Physiology. 234(5). 5863–5879. 14 indexed citations
14.
15.
Cherian‐Shaw, Mary, et al.. (2007). Regulation of granulosa cell proliferation and EGF-like ligands during the periovulatory interval in monkeys. Human Reproduction. 22(5). 1247–1252. 36 indexed citations
16.
Cherian‐Shaw, Mary, et al.. (2006). Granulosa cell expression of G1/S phase cyclins and cyclin-dependent kinases in PMSG-induced follicle growth. Molecular and Cellular Endocrinology. 264(1-2). 6–15. 25 indexed citations
17.
Cherian‐Shaw, Mary, Rituparna Das, Catherine A. VandeVoort, & Charles L. Chaffin. (2004). Regulation of Steroidogenesis by p53 in Macaque Granulosa Cells and H295R Human Adrenocortical Cells. Endocrinology. 145(12). 5734–5744. 13 indexed citations
18.
Bera, Sibes, et al.. (2001). Substituted hydrophobic and hydrophilic residues at methionine-68 influence the chaperone-like function of αB-crystallin. Molecular and Cellular Biochemistry. 220(1-2). 127–133. 20 indexed citations
19.
Cherian‐Shaw, Mary, et al.. (2000). Mutation of R116C Results in Highly Oligomerized αA-Crystallin with Modified Structure and Defective Chaperone-like Function. Biochemistry. 39(6). 1420–1426. 83 indexed citations
20.
Cherian‐Shaw, Mary, et al.. (1999). Intrapolypeptide disulfides in human αA-crystallin and their effect on chaperone-like function. Molecular and Cellular Biochemistry. 199(1-2). 163–167. 23 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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