Sheila S. Jaswal

839 total citations
19 papers, 682 citations indexed

About

Sheila S. Jaswal is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Sheila S. Jaswal has authored 19 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Spectroscopy. Recurrent topics in Sheila S. Jaswal's work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Sheila S. Jaswal is often cited by papers focused on Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). Sheila S. Jaswal collaborates with scholars based in United States, India and Germany. Sheila S. Jaswal's co-authors include David A. Agard, Julie L. Sohl, Jonathan H. Davis, Laila D. McVay, Adrian Hayday, Simon R. Carding, Christine Kennedy, Ken A. Dill, Stephanie M.E. Truhlar and Andrew D. Miranker and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Immunology.

In The Last Decade

Sheila S. Jaswal

19 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheila S. Jaswal United States	11	471	208	138	62	61	19	682
Dalit Shental-Bechor Israel	12	848 1.8×	140 0.7×	130 0.9×	100 1.6×	71 1.2×	15	1.0k
Seunghyon Choe United States	5	664 1.4×	265 1.3×	126 0.9×	65 1.0×	40 0.7×	6	842
Binchen Mao United States	12	510 1.1×	211 1.0×	59 0.4×	29 0.5×	67 1.1×	26	668
Aurélien Thureau France	13	774 1.6×	140 0.7×	64 0.5×	28 0.5×	47 0.8×	41	958
Helena Tossavainen Finland	15	359 0.8×	69 0.3×	84 0.6×	27 0.4×	50 0.8×	40	546
José Manuel Pérez‐Cañadillas Spain	15	793 1.7×	94 0.5×	172 1.2×	66 1.1×	29 0.5×	28	986
Marc Ribó Spain	21	1.0k 2.1×	263 1.3×	81 0.6×	57 0.9×	29 0.5×	59	1.2k
Michael Petukhov Russia	16	555 1.2×	143 0.7×	33 0.2×	32 0.5×	58 1.0×	41	743
F. Gorrec United Kingdom	8	481 1.0×	126 0.6×	47 0.3×	22 0.4×	30 0.5×	17	600
Key Sun Kim South Korea	6	404 0.9×	133 0.6×	77 0.6×	16 0.3×	80 1.3×	7	510

Countries citing papers authored by Sheila S. Jaswal

Since Specialization

Citations

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

Fields of papers citing papers by Sheila S. Jaswal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheila S. Jaswal. 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 Sheila S. Jaswal. The network helps show where Sheila S. Jaswal may publish in the future.

Co-authorship network of co-authors of Sheila S. Jaswal

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

All Works

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19 of 19 papers shown

Jaswal, Sheila S., et al.. (2023). Being Human in STEM. 4 indexed citations

Jaswal, Sheila S.. (2022). Lessons from a quarter century of being human in protein science. Protein Science. 31(4). 768–783. 2 indexed citations

Gardner, Kristen, et al.. (2021). From protest to progress through partnership with students: Being human in STEM (HSTEM). International Journal for Students as Partners. 5(1). 26–56. 9 indexed citations

Varadarajan, Raghavan, et al.. (2019). Application of Numerical Simulations to Extract Protein Folding Parameters from Hydrogen Exchange Mass Spectrometry Experiments under Native Conditions. Biophysical Journal. 116(3). 334a–335a. 1 indexed citations

Witten, Jacob, et al.. (2015). Mapping Protein Conformational Landscapes under Strongly Native Conditions with Hydrogen Exchange Mass Spectrometry. The Journal of Physical Chemistry B. 119(31). 10016–10024. 7 indexed citations

Doktorova, Milka, et al.. (2014). Computational prediction of hinge axes in proteins. BMC Bioinformatics. 15(S8). S2–S2. 2 indexed citations

Jaswal, Sheila S., et al.. (2014). A comprehensive database of verified experimental data on protein folding kinetics. Protein Science. 23(12). 1808–1812. 13 indexed citations

Dill, Ken A., et al.. (2014). Modeling the Solvation of Nonpolar Amino Acids in Guanidinium Chloride Solutions. The Journal of Physical Chemistry B. 118(36). 10618–10623. 4 indexed citations

Jaswal, Sheila S., et al.. (2013). Capturing protein folding-relevant topology via absolute contact order variants. Journal of Theoretical and Computational Chemistry. 13(1). 1450005–1450005. 3 indexed citations

10.

Jaswal, Sheila S., Patricia B. O’Hara, Patrick L. Williamson, & Amy Springer. (2013). Teaching structure: Student use of software tools for understanding macromolecular structure in an undergraduate biochemistry course. Biochemistry and Molecular Biology Education. 41(5). 351–359. 19 indexed citations

11.

Jaswal, Sheila S.. (2012). Biological insights from hydrogen exchange mass spectrometry. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(6). 1188–1201. 38 indexed citations

12.

Jaswal, Sheila S. & Andrew D. Miranker. (2007). Scope and utility of hydrogen exchange as a tool for mapping landscapes. Protein Science. 16(11). 2378–2390. 14 indexed citations

13.

Jaswal, Sheila S., Stephanie M.E. Truhlar, Ken A. Dill, & David A. Agard. (2005). Comprehensive Analysis of Protein Folding Activation Thermodynamics Reveals a Universal Behavior Violated by Kinetically Stable Proteases. Journal of Molecular Biology. 347(2). 355–366. 43 indexed citations

14.

Jaswal, Sheila S., Julie L. Sohl, Jonathan H. Davis, & David A. Agard. (2002). Energetic landscape of α-lytic protease optimizes longevity through kinetic stability. Nature. 415(6869). 343–346. 131 indexed citations

15.

Jaswal, Sheila S., et al.. (1999). Kinetic stability as a mechanism for protease longevity. Proceedings of the National Academy of Sciences. 96(20). 11008–11014. 76 indexed citations

16.

Mink, Sigrun, Sheila S. Jaswal, Oliver Burk, & Karl-Heinz Klempnauer. (1999). The v-Myb oncoprotein activates C/EBPβ expression by stimulating an autoregulatory loop at the C/EBPβ promoter. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1447(2-3). 175–184. 24 indexed citations

17.

McVay, Laila D., Sheila S. Jaswal, Christine Kennedy, Adrian Hayday, & Simon R. Carding. (1998). The Generation of Human γδ T Cell Repertoires During Fetal Development. The Journal of Immunology. 160(12). 5851–5860. 65 indexed citations

18.

Sohl, Julie L., Sheila S. Jaswal, & David A. Agard. (1998). Unfolded conformations of α-lytic protease are more stable than its native state. Nature. 395(6704). 817–819. 164 indexed citations

19.

McVay, Laila D., Sheila S. Jaswal, Christine Kennedy, Adrian Hayday, & Simon R. Carding. (1998). The generation of human gammadelta T cell repertoires during fetal development.. PubMed. 160(12). 5851–60. 63 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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