Ayesha Bhatia

535 total citations
11 papers, 405 citations indexed

About

Ayesha Bhatia is a scholar working on Molecular Biology, Insect Science and Rehabilitation. According to data from OpenAlex, Ayesha Bhatia has authored 11 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Insect Science and 3 papers in Rehabilitation. Recurrent topics in Ayesha Bhatia's work include Heat shock proteins research (7 papers), Bee Products Chemical Analysis (6 papers) and Wound Healing and Treatments (3 papers). Ayesha Bhatia is often cited by papers focused on Heat shock proteins research (7 papers), Bee Products Chemical Analysis (6 papers) and Wound Healing and Treatments (3 papers). Ayesha Bhatia collaborates with scholars based in United States, United Kingdom and Japan. Ayesha Bhatia's co-authors include Mei Chen, David T. Woodley, Wei Li, Fred Tsen, Priyamvada Jayaprakash, Hangming Dong, Mengchen Zou, Gabriele Multhoff, Divya Sahu and Alex K. Wong and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Scientific Reports.

In The Last Decade

Ayesha Bhatia

11 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayesha Bhatia United States 10 281 83 62 57 54 11 405
Fred Tsen United States 8 440 1.6× 82 1.0× 101 1.6× 73 1.3× 93 1.7× 9 589
Dorota Ścieglińska Poland 17 489 1.7× 32 0.4× 103 1.7× 49 0.9× 65 1.2× 36 672
Denis V. Yashin Russia 14 216 0.8× 30 0.4× 28 0.5× 10 0.2× 294 5.4× 40 476
Yuka Okusha Japan 15 508 1.8× 8 0.1× 95 1.5× 11 0.2× 66 1.2× 29 675
Jos P.H. Smits Netherlands 9 152 0.5× 47 0.6× 53 0.9× 15 0.3× 86 1.6× 24 498
Nobuko Akutsu Japan 11 191 0.7× 59 0.7× 112 1.8× 17 0.3× 14 0.3× 17 459
Jixin Gao China 8 117 0.4× 27 0.3× 15 0.2× 5 0.1× 195 3.6× 14 436
Xuegang Xu China 11 86 0.3× 34 0.4× 73 1.2× 4 0.1× 44 0.8× 34 415
Marie Oliver Metzig Germany 9 414 1.5× 30 0.4× 32 0.5× 8 0.1× 186 3.4× 18 651

Countries citing papers authored by Ayesha Bhatia

Since Specialization
Citations

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

Fields of papers citing papers by Ayesha Bhatia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayesha Bhatia

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

All Works

11 of 11 papers shown
1.
Bhatia, Ayesha, Paul S. Appelbaum, & Katherine L. Wisner. (2021). Unblinding in Randomized Controlled Trials: A Research Ethics Case. PubMed. 43(2). 28–34. 12 indexed citations
2.
Chang, Cheng, et al.. (2020). Wound Healing Driver Gene and Therapeutic Development: Political and Scientific Hurdles. Advances in Wound Care. 10(8). 415–435. 9 indexed citations
3.
Bhatia, Ayesha, Chiaki Kajiwara, Mei Chen, et al.. (2017). Extracellular and Non-Chaperone Function of Heat Shock Protein−90α Is Required for Skin Wound Healing. Journal of Investigative Dermatology. 138(2). 423–433. 28 indexed citations
4.
Bhatia, Ayesha, Mei Chen, Alex K. Wong, et al.. (2016). Dual therapeutic functions of F-5 fragment in burn wounds: preventing wound progression and promoting wound healing in pigs. Molecular Therapy — Methods & Clinical Development. 3. 16041–16041. 26 indexed citations
5.
Dong, Hangming, Mengchen Zou, Ayesha Bhatia, et al.. (2016). Breast Cancer MDA-MB-231 Cells Use Secreted Heat Shock Protein-90alpha (Hsp90α) to Survive a Hostile Hypoxic Environment. Scientific Reports. 6(1). 20605–20605. 53 indexed citations
6.
Bhatia, Ayesha, et al.. (2015). Keratinocyte-Secreted Heat Shock Protein-90alpha: Leading Wound Reepithelialization and Closure. Advances in Wound Care. 5(4). 176–184. 17 indexed citations
7.
Jayaprakash, Priyamvada, Hangming Dong, Mengchen Zou, et al.. (2015). Hsp90α and Hsp90β Co-Operate a Stress-Response Mechanism to Cope With Hypoxia and Nutrient Paucity during Wound Healing. Journal of Cell Science. 128(8). 1475–80. 55 indexed citations
8.
O’Brien, Kathryn, Ayesha Bhatia, Fred Tsen, et al.. (2014). Identification of the Critical Therapeutic Entity in Secreted Hsp90α That Promotes Wound Healing in Newly Re-Standardized Healthy and Diabetic Pig Models. PLoS ONE. 9(12). e113956–e113956. 39 indexed citations
10.
Li, Wei, Fred Tsen, Divya Sahu, et al.. (2013). Extracellular Hsp90 (eHsp90) as the Actual Target in Clinical Trials. International review of cell and molecular biology. 303. 203–235. 70 indexed citations
11.
Jeong, Joseph H., Ayesha Bhatia, Zsolt Tóth, et al.. (2011). TPL2/COT/MAP3K8 (TPL2) Activation Promotes Androgen Depletion-Independent (ADI) Prostate Cancer Growth. PLoS ONE. 6(1). e16205–e16205. 28 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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