Shaila Bhat

791 total citations
17 papers, 676 citations indexed

About

Shaila Bhat is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shaila Bhat has authored 17 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 9 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shaila Bhat's work include Cholesterol and Lipid Metabolism (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). Shaila Bhat is often cited by papers focused on Cholesterol and Lipid Metabolism (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Peroxisome Proliferator-Activated Receptors (8 papers). Shaila Bhat collaborates with scholars based in United States, Italy and Ireland. Shaila Bhat's co-authors include Mary G. Sorci‐Thomas, Michael J. Thomas, Michael P. Samuel, Manal Zabalawi, Eric T. Alexander, J.S. Owen, Dharika Shah, Ashley J. Wilhelm, Rubina Tuladhar and Jason M. Grayson and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and American Journal Of Pathology.

In The Last Decade

Shaila Bhat

17 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaila Bhat United States	12	365	342	267	122	92	17	676
Junichiro Tohyama United States	14	381 1.0×	240 0.7×	245 0.9×	145 1.2×	166 1.8×	17	790
E. de Wit Netherlands	16	297 0.8×	347 1.0×	240 0.9×	111 0.9×	164 1.8×	26	771
Ashley Brooks United Kingdom	8	377 1.0×	370 1.1×	269 1.0×	100 0.8×	119 1.3×	12	927
S I Skarlatos United States	12	326 0.9×	207 0.6×	165 0.6×	174 1.4×	103 1.1×	18	671
Nicole Herijgers Netherlands	10	218 0.6×	200 0.6×	91 0.3×	189 1.5×	85 0.9×	14	518
Marc W. Pladet United States	9	189 0.5×	189 0.6×	177 0.7×	65 0.5×	165 1.8×	9	585
Ravi Jahagirdar United States	10	159 0.4×	440 1.3×	147 0.6×	37 0.3×	87 0.9×	22	687
Bart J. van Vlijmen Netherlands	8	162 0.4×	155 0.5×	55 0.2×	134 1.1×	63 0.7×	9	527
Mark Burgert United States	6	152 0.4×	168 0.5×	42 0.2×	88 0.7×	101 1.1×	11	445
Steven T. Kunitake United States	11	140 0.4×	164 0.5×	188 0.7×	38 0.3×	85 0.9×	11	495

Countries citing papers authored by Shaila Bhat

Since Specialization

Citations

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

Fields of papers citing papers by Shaila Bhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaila Bhat

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

All Works

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17 of 17 papers shown

Khokhlova, Ekaterina V., et al.. (2022). Assessing Hydrolyzed Gluten Content in Dietary Enzyme Supplements Following Fermentation. Fermentation. 8(5). 203–203. 2 indexed citations

Bakkannavar, Shankar M, et al.. (2016). Estimation of time since death from cytoplasm changes of bone marrow cells. 8(2). 85–89. 1 indexed citations

Kumar, Gaurav, et al.. (2015). Correlation of cellular autolytic changes in bone marrow with post-mortem interval. Clinical & Biomedical Research. 1(4). 28–33. 1 indexed citations

Bakkannavar, Shankar M, et al.. (2015). Estimation of time since death from nuclei changes of bone marrow cells. Indian Journal of Forensic and Community Medicine. 2(4). 198–198. 4 indexed citations

Sorci‐Thomas, Mary G., J.S. Owen, Brian Fulp, et al.. (2012). Nascent high density lipoproteins formed by ABCA1 resemble lipid rafts and are structurally organized by three apoA-I monomers. Journal of Lipid Research. 53(9). 1890–1909. 102 indexed citations

Sorci‐Thomas, Mary G., Manal Zabalawi, Manish S. Bharadwaj, et al.. (2011). Dysfunctional HDL containing L159R ApoA-I leads to exacerbation of atherosclerosis in hyperlipidemic mice. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1821(3). 502–512. 16 indexed citations

Wilhelm, Ashley J., Manal Zabalawi, J.S. Owen, et al.. (2010). Apolipoprotein A-I Modulates Regulatory T Cells in Autoimmune LDLr−/−, ApoA-I−/− Mice. Journal of Biological Chemistry. 285(46). 36158–36169. 108 indexed citations

Bhat, Shaila, Mary G. Sorci‐Thomas, Laura Calabresi, Michael P. Samuel, & Michael J. Thomas. (2010). Conformation of Dimeric Apolipoprotein A-I Milano on Recombinant Lipoprotein Particles. Biochemistry. 49(25). 5213–5224. 16 indexed citations

Sorci‐Thomas, Mary G., Shaila Bhat, & Michael J. Thomas. (2009). Activation of lecithin: cholesterol acyltransferase by HDL ApoA-I central helices. Clinical Lipidology. 4(1). 113–124. 59 indexed citations

10.

Thomas, Michael J., Shaila Bhat, & Mary G. Sorci‐Thomas. (2008). Three-dimensional models of HDL apoA-I: implications for its assembly and function. Journal of Lipid Research. 49(9). 1875–1883. 90 indexed citations

11.

Bhat, Shaila, Mary G. Sorci‐Thomas, Rubina Tuladhar, Michael P. Samuel, & Michael J. Thomas. (2007). Conformational Adaptation of Apolipoprotein A-I to Discretely Sized Phospholipid Complexes. Biochemistry. 46(26). 7811–7821. 61 indexed citations

12.

Thomas, Michael J., Shaila Bhat, & Mary G. Sorci‐Thomas. (2006). The use of chemical cross-linking and mass spectrometry to elucidate the tertiary conformation of lipid-bound apolipoprotein A-I. Current Opinion in Lipidology. 17(3). 214–220. 17 indexed citations

13.

Owen, J.S., Manish S. Bharadwaj, Michael J. Thomas, et al.. (2006). Ratio determination of plasma wild-type and L159R apoA-I using mass spectrometry: tools for studying apoA-IFin. Journal of Lipid Research. 48(1). 226–234. 11 indexed citations

14.

Bhat, Shaila, Mary G. Sorci‐Thomas, Eric T. Alexander, Michael P. Samuel, & Michael J. Thomas. (2005). Intermolecular Contact between Globular N-terminal Fold and C-terminal Domain of ApoA-I Stabilizes Its Lipid-bound Conformation. Journal of Biological Chemistry. 280(38). 33015–33025. 84 indexed citations

15.

Alexander, Eric T., Shaila Bhat, Michael J. Thomas, et al.. (2005). Apolipoprotein A-I Helix 6 Negatively Charged Residues Attenuate Lecithin−Cholesterol Acyltransferase (LCAT) Reactivity. Biochemistry. 44(14). 5409–5419. 33 indexed citations

16.

Bhat, Shaila, Manal Zabalawi, Mark C. Willingham, et al.. (2004). Quality control in the apoA-I secretory pathway. Journal of Lipid Research. 45(7). 1207–1220. 11 indexed citations

17.

Zabalawi, Manal, Shaila Bhat, Michael J. Thomas, et al.. (2003). Induction of Fatal Inflammation in LDL Receptor and ApoA-I Double-Knockout Mice Fed Dietary Fat and Cholesterol. American Journal Of Pathology. 163(3). 1201–1213. 60 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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