Lyra Chang

20 papers receiving 1.7k citations

Peers

Lyra Chang
Comparison fields: 5 of 113
  • Aging 55
  • Molecular Biology 1.4k
  • Cell Biology 339
  • Physical and Theoretical Chemistry 149
  • Computational Theory and Mathematics 219
Replace Amere Subbarao Sreedhar with:
Amere Subbarao Sreedhar India
Cara K. Vaughan United Kingdom
Guillermo Senisterra Canada
Stefan H. Millson United Kingdom
M.G. Catelli France
Stefano Pegoraro Italy
Qinglian Liu United States
Harald Wegele Germany
Francis Tsai United States
Juan D. Chavez United States
Lyra Chang relative to Amere Subbarao Sreedhar India Amere Subbarao Sreedhar's profile →
Citations per field
00.5×1.5×2.2×
Amere Subbarao Sreedhar · 1×
Citations per year

Countries citing papers authored by Lyra Chang

Since Specialization
Citations

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

Fields of papers citing papers by Lyra Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lyra Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lyra Chang Line = papers co-authored together Lyra Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2009362
2 2010335
3 2009182
4 2010129
5 2010125
6 2007112
7 201183
8 200967
9 201060
10 200759
11 201946
12 201043
13 201540
14 201228
15 202127
16 201318
17 200510
18 20206
19 19965
20 20204

About Lyra Chang

Lyra Chang is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Physical and Theoretical Chemistry and Cell Biology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Heat shock proteins research (13 papers), Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (5 papers), Computational Drug Discovery Methods (3 papers), thermodynamics and calorimetric analyses (3 papers), Cell Image Analysis Techniques (2 papers), Protein Degradation and Inhibitors (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Aging (55 citations), Molecular Biology (1.4k citations), Cell Biology (339 citations), Physical and Theoretical Chemistry (149 citations) and Computational Theory and Mathematics (219 citations). Lyra Chang has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Jason E. Gestwicki, Erik R. P. Zuiderweg, Christopher G. Evans, Eric B. Bertelsen, Thomas J. McQuade, Susanne Wisén, Peter M.U. Ung, Heather A. Carlson, Yoshinari Miyata and Andrea D. Thompson. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry, SLAS DISCOVERY, Scientific Reports and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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