Sharon Jiang

1.7k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Sharon Jiang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Sharon Jiang has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Physiology. Recurrent topics in Sharon Jiang's work include Gut microbiota and health (8 papers), Nutritional Studies and Diet (4 papers) and Diet and metabolism studies (3 papers). Sharon Jiang is often cited by papers focused on Gut microbiota and health (8 papers), Nutritional Studies and Diet (4 papers) and Diet and metabolism studies (3 papers). Sharon Jiang collaborates with scholars based in United States, Austria and Kenya. Sharon Jiang's co-authors include Frank McCormick, Arie Abo, Marc Symons, Vanessa Lemahieu, Uta Francke, Jonathan M.J. Derry, Heather K. Durand, Lawrence A. David, Eric P. Dallow and Justin D. Silverman and has published in prestigious journals such as Cell, International Journal of Radiation Oncology*Biology*Physics and The ISME Journal.

In The Last Decade

Sharon Jiang

14 papers receiving 1.2k citations

Hit Papers

Wiskott–Aldrich Syndrome Protein, a Novel Effector for th... 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharon Jiang United States 8 722 479 237 142 120 17 1.2k
Stanislav Samarin United States 11 626 0.9× 337 0.7× 91 0.4× 134 0.9× 87 0.7× 12 1.2k
Matthias Voß Germany 18 718 1.0× 294 0.6× 80 0.3× 240 1.7× 107 0.9× 39 1.1k
Elizabeth Fleming United States 21 1.5k 2.1× 167 0.3× 74 0.3× 175 1.2× 81 0.7× 35 2.1k
Arnaud Labrousse France 15 804 1.1× 311 0.6× 118 0.5× 266 1.9× 105 0.9× 21 1.4k
Ryosuke Takii Japan 24 1.0k 1.4× 424 0.9× 90 0.4× 287 2.0× 184 1.5× 44 1.6k
Dana Lin United States 10 426 0.6× 212 0.4× 47 0.2× 41 0.3× 104 0.9× 17 818
Lothar Gröbe Germany 11 285 0.4× 219 0.5× 69 0.3× 108 0.8× 21 0.2× 15 685
Vince Guerriero United States 18 1.0k 1.4× 330 0.7× 28 0.1× 160 1.1× 77 0.6× 29 1.4k
Ronald W. Raab United States 16 605 0.8× 236 0.5× 34 0.1× 43 0.3× 116 1.0× 28 1.1k
Kandhadayar G. Srinivasan Singapore 16 1.2k 1.6× 84 0.2× 64 0.3× 158 1.1× 105 0.9× 18 1.7k

Countries citing papers authored by Sharon Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Sharon Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharon Jiang

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

All Works

17 of 17 papers shown
1.
Thompson, Leah L., Jaewon Yoon, Sharon Jiang, et al.. (2025). Geriatric assessment among vulnerable older adults undergoing stereotactic body radiotherapy for early-stage non-small cell lung cancer. Journal of Geriatric Oncology. 16(7). 102327–102327.
2.
Kay, Melissa C., Brianna L. Petrone, Tracy Truong, et al.. (2025). Grocery intervention and DNA‐based assessment to improve diet quality in pediatric obesity: a pilot randomized controlled study. Obesity. 33(2). 331–345. 2 indexed citations
3.
Thompson, Leah L., Grace C. Lee, Sharon Jiang, et al.. (2025). Associations Between G8 Geriatric Screening Score, Charlson Comorbidity Index, AI-Based Age Phenotype, and Overall Survival in Older Adults With Stage I-II Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 123(5). 1295–1305.
4.
Zeng, Jun‐Jie, et al.. (2024). Interplay between particle size and microbial ecology in the gut microbiome. The ISME Journal. 18(1). 3 indexed citations
5.
Petrone, Brianna L., et al.. (2024). A pilot study of metaproteomics and DNA metabarcoding as tools to assess dietary intake in humans. Food & Function. 16(1). 282–296. 2 indexed citations
6.
Jiang, Sharon, Barbara D. Lam, Monica Agrawal, et al.. (2024). Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. Journal of the American Medical Informatics Association. 31(7). 1578–1582. 1 indexed citations
7.
Zeng, Jun‐Jie, Sharon Jiang, Brianna L. Petrone, et al.. (2024). Food DNA Sequencing Reveals Associations between Dietary Perturbations and Patient Outcomes in Hematopoietic Stem Cell Transplant. Transplantation and Cellular Therapy. 30(2). S132–S132.
8.
Holmes, Zachary C., Eric P. Dallow, Heather K. Durand, et al.. (2022). Ecological memory of prior nutrient exposure in the human gut microbiome. The ISME Journal. 16(11). 2479–2490. 20 indexed citations
9.
Holmes, Zachary C., Max M. Villa, Heather K. Durand, et al.. (2022). Microbiota responses to different prebiotics are conserved within individuals and associated with habitual fiber intake. Microbiome. 10(1). 114–114. 97 indexed citations
10.
Lu, Haiyan, et al.. (2022). Systematically exploring repurposing effects of antihypertensives. Pharmacoepidemiology and Drug Safety. 31(9). 944–952. 5 indexed citations
11.
Silverman, Justin D., Sharon Jiang, Heather K. Durand, et al.. (2021). Measuring and mitigating PCR bias in microbiota datasets. PLoS Computational Biology. 17(7). e1009113–e1009113. 62 indexed citations
12.
Jiang, Sharon, et al.. (2021). State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study.. PubMed. 2021. 334–342. 1 indexed citations
13.
Villa, Max M., Justin D. Silverman, Heather K. Durand, et al.. (2020). Interindividual Variation in Dietary Carbohydrate Metabolism by Gut Bacteria Revealed with Droplet Microfluidic Culture. mSystems. 5(3). 45 indexed citations
14.
Reese, Aspen T., Fátima C. Pereira, Arno Schintlmeister, et al.. (2018). Microbial nitrogen limitation in the mammalian large intestine. Nature Microbiology. 3(12). 1441–1450. 92 indexed citations
15.
Denard, Bray, Sharon Jiang, Yan Peng, & Jin Ye. (2018). CREB3L1 as a potential biomarker predicting response of triple negative breast cancer to doxorubicin-based chemotherapy. BMC Cancer. 18(1). 34 indexed citations
16.
Reese, Aspen T., Eugenia H. Cho, Bruce Klitzman, et al.. (2018). Antibiotic-induced changes in the microbiota disrupt redox dynamics in the gut. eLife. 7. 124 indexed citations
17.
Symons, Marc, Jonathan M.J. Derry, Sharon Jiang, et al.. (1996). Wiskott–Aldrich Syndrome Protein, a Novel Effector for the GTPase CDC42Hs, Is Implicated in Actin Polymerization. Cell. 84(5). 723–734. 725 indexed citations breakdown →

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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