Michelle So

4.1k total citations
20 papers, 317 citations indexed

About

Michelle So is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Michelle So has authored 20 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Surgery and 6 papers in Genetics. Recurrent topics in Michelle So's work include Pancreatic function and diabetes (7 papers), Diabetes and associated disorders (6 papers) and Diabetes Management and Research (6 papers). Michelle So is often cited by papers focused on Pancreatic function and diabetes (7 papers), Diabetes and associated disorders (6 papers) and Diabetes Management and Research (6 papers). Michelle So collaborates with scholars based in Australia, United States and South Korea. Michelle So's co-authors include Carla J. Greenbaum, Cate Speake, John M. Wentworth, Thomas W. H. Kay, Andrea K. Steck, Stuart I. Mannering, Eleonora Tresoldi, Jan A. Nolta, Fergus Cameron and Colleen M. Elso and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Endocrine Reviews.

In The Last Decade

Michelle So

19 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle So Australia 11 148 145 140 51 49 20 317
José Caballero-Corbalán Sweden 7 102 0.7× 90 0.6× 222 1.6× 24 0.5× 53 1.1× 12 295
Michael Eckhard Germany 16 386 2.6× 358 2.5× 537 3.8× 21 0.4× 132 2.7× 47 745
Mohammad-Reza Mohajeri-Tehrani Iran 8 190 1.3× 29 0.2× 89 0.6× 8 0.2× 48 1.0× 22 304
Hye‐Young Nam South Korea 8 30 0.2× 81 0.6× 82 0.6× 31 0.6× 78 1.6× 11 220
Shabnam Bakhshalizadeh Iran 11 18 0.1× 39 0.3× 48 0.3× 38 0.7× 117 2.4× 21 376
Christine Bruun Denmark 10 195 1.3× 150 1.0× 259 1.9× 38 0.7× 159 3.2× 14 475
Sophie Clouet France 7 103 0.7× 11 0.1× 49 0.3× 16 0.3× 72 1.5× 9 330
Caroline Magnusson Sweden 7 42 0.3× 64 0.4× 157 1.1× 14 0.3× 112 2.3× 10 371
M Brincat United Kingdom 6 171 1.2× 140 1.0× 57 0.4× 14 0.3× 26 0.5× 10 490
Justin R. Fernandes United States 9 65 0.4× 80 0.6× 243 1.7× 5 0.1× 42 0.9× 12 304

Countries citing papers authored by Michelle So

Since Specialization
Citations

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

Fields of papers citing papers by Michelle So

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle So

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle So. A scholar is included among the top collaborators of Michelle So 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 Michelle So. Michelle So 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.
So, Michelle, Sara Vogrin, Michaela Waibel, Thomas W. H. Kay, & John M. Wentworth. (2025). β-Cell Function Derived From Routine Clinical Measures Reports and Predicts Treatment Response to Immunotherapy in Recent-Onset Type 1 Diabetes. Diabetes Care. 48(8). 1370–1376.
2.
Vogrin, Sara, Michelle So, Glenn M. Ward, et al.. (2023). Continuous Glucose Monitoring-Based Composite Metrics: A Review and Assessment of Performance in Recent-Onset and Long-Duration Type 1 Diabetes. Diabetes Technology & Therapeutics. 25(7). 497–506. 6 indexed citations
3.
Ma, Shining, Michelle So, Rohith Srivas, et al.. (2023). Attenuated IL-2 muteins leverage the TCR signal to enhance regulatory T cell homeostasis and response in vivo. Frontiers in Immunology. 14. 1257652–1257652. 5 indexed citations
4.
So, Michelle, Colin O’Rourke, Alyssa Ylescupidez, et al.. (2022). Characterising the age-dependent effects of risk factors on type 1 diabetes progression. Diabetologia. 65(4). 684–694. 18 indexed citations
5.
Thomas, Helen E., John M. Wentworth, Jennifer Couper, et al.. (2022). Investigating the efficacy of baricitinib in new onset type 1 diabetes mellitus (BANDIT)—study protocol for a phase 2, randomized, placebo controlled trial. Trials. 23(1). 433–433. 17 indexed citations
6.
So, Michelle, Cate Speake, Andrea K. Steck, et al.. (2021). Advances in Type 1 Diabetes Prediction Using Islet Autoantibodies: Beyond a Simple Count. Endocrine Reviews. 42(5). 584–604. 40 indexed citations
7.
Yang, Hsin‐ya, Fernando A. Fierro, Michelle So, et al.. (2020). Combination product of dermal matrix, human mesenchymal stem cells, and timolol promotes diabetic wound healing in mice. Stem Cells Translational Medicine. 9(11). 1353–1364. 42 indexed citations
8.
So, Michelle, Colin O’Rourke, Henry T. Bahnson, Carla J. Greenbaum, & Cate Speake. (2020). Autoantibody Reversion: Changing Risk Categories in Multiple-Autoantibody–Positive Individuals. Diabetes Care. 43(4). 913–917. 16 indexed citations
9.
Tresoldi, Eleonora, et al.. (2019). Quantification of Proliferating Human Antigen-specific CD4<sup>+</sup> T Cells using Carboxyfluorescein Succinimidyl Ester. Journal of Visualized Experiments. 2 indexed citations
10.
Tresoldi, Eleonora, et al.. (2019). Quantification of Proliferating Human Antigen-specific CD4<sup>+</sup> T Cells using Carboxyfluorescein Succinimidyl Ester. Journal of Visualized Experiments. 7 indexed citations
11.
Tartar, Danielle, Michelle D. Bagood, Michelle So, et al.. (2019). Topical Fluoxetine as a Novel Therapeutic That Improves Wound Healing in Diabetic Mice. Diabetes. 68(7). 1499–1507. 19 indexed citations
12.
So, Michelle, Colleen M. Elso, Eleonora Tresoldi, et al.. (2018). Proinsulin C-peptide is an autoantigen in people with type 1 diabetes. Proceedings of the National Academy of Sciences. 115(42). 10732–10737. 53 indexed citations
13.
Mannering, Stuart I., Michelle So, Colleen M. Elso, & Thomas W. H. Kay. (2017). Shuffling peptides to create T‐cell epitopes: does the immune system play cards?. Immunology and Cell Biology. 96(1). 34–40. 5 indexed citations
14.
15.
Tartar, Danielle, et al.. (2016). 753 Serotonin as a potential therapeutic target for mesenchymal stem cell – Mediated improvement of wound healing. Journal of Investigative Dermatology. 136(5). S133–S133. 1 indexed citations
16.
Osborn, Stephanie L., et al.. (2015). Inosculation of Blood Vessels Allows Early Perfusion and Vitality of Bladder Grafts—Implications for Bioengineered Bladder Wall. Tissue Engineering Part A. 21(11-12). 1906–1915. 14 indexed citations
17.
Zhang, Xiao-Dong, Lin Cao, Hanqing Li, et al.. (2013). Synchronization Modulation Increases Transepithelial Potentials in MDCK Monolayers through Na/K Pumps. PLoS ONE. 8(4). e61509–e61509. 10 indexed citations
18.
So, Michelle, Richard J. MacIsaac, & Mathis Grossmann. (2012). Hypothyroidism: Investigation and management. 41(8). 556. 5 indexed citations
19.
So, Michelle, Richard J. MacIsaac, & Mathis Grossmann. (2012). Hypothyroidism.. PubMed. 41(8). 556–62. 7 indexed citations
20.

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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