E. Celeste Welch

413 total citations
12 papers, 290 citations indexed

About

E. Celeste Welch is a scholar working on Biomedical Engineering, Oncology and Molecular Biology. According to data from OpenAlex, E. Celeste Welch has authored 12 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in E. Celeste Welch's work include Microfluidic and Bio-sensing Technologies (5 papers), Cancer Cells and Metastasis (3 papers) and Phagocytosis and Immune Regulation (2 papers). E. Celeste Welch is often cited by papers focused on Microfluidic and Bio-sensing Technologies (5 papers), Cancer Cells and Metastasis (3 papers) and Phagocytosis and Immune Regulation (2 papers). E. Celeste Welch collaborates with scholars based in United States and India. E. Celeste Welch's co-authors include Anita Shukla, Anubhav Tripathi, Jon Iker Etchegaray, Allison K. Timmons, Kimberly McCall, Christopher J. Welch, Erik L. Regalado, Christina M. Kraml, Joyce Ou and Nikos Tapinos and has published in prestigious journals such as Advanced Functional Materials, Development and Scientific Reports.

In The Last Decade

E. Celeste Welch

12 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Celeste Welch United States 7 121 111 46 46 41 12 290
Mark Spengler Germany 10 201 1.7× 69 0.6× 62 1.3× 32 0.7× 48 1.2× 12 343
Hagit Peretz‐Soroka Canada 8 138 1.1× 268 2.4× 16 0.3× 55 1.2× 44 1.1× 13 372
Andrey Romanyuk United States 11 279 2.3× 61 0.5× 67 1.5× 18 0.4× 21 0.5× 13 576
Junwon Kim United States 11 188 1.6× 47 0.4× 20 0.4× 26 0.6× 116 2.8× 22 415
Wenhui He China 12 397 3.3× 196 1.8× 29 0.6× 35 0.8× 66 1.6× 24 521
Vladena Bauerová‐Hlinková Slovakia 8 186 1.5× 46 0.4× 12 0.3× 61 1.3× 50 1.2× 17 324
Bert Lai United States 12 243 2.0× 54 0.5× 20 0.4× 36 0.8× 48 1.2× 16 360
Gloria Torralba Germany 10 212 1.8× 97 0.9× 20 0.4× 47 1.0× 13 0.3× 23 387
Kentaro Noi Japan 13 258 2.1× 94 0.8× 30 0.7× 50 1.1× 38 0.9× 28 472
Sindhu Menon United States 9 147 1.2× 39 0.4× 34 0.7× 11 0.2× 43 1.0× 12 386

Countries citing papers authored by E. Celeste Welch

Since Specialization
Citations

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

Fields of papers citing papers by E. Celeste Welch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Celeste Welch. 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 E. Celeste Welch. The network helps show where E. Celeste Welch may publish in the future.

Co-authorship network of co-authors of E. Celeste Welch

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

All Works

12 of 12 papers shown
1.
Welch, E. Celeste, et al.. (2025). Innovative Method for Fully Automated, Enzyme-Free Tissue Dissociation and Preparation for Single-Cell Analysis. Cellular and Molecular Bioengineering. 18(3-4). 251–269. 1 indexed citations
2.
Welch, E. Celeste, et al.. (2024). BMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation. Scientific Data. 11(1). 1444–1444. 2 indexed citations
3.
Welch, E. Celeste, et al.. (2023). Ultrasound frequency sonication facilitates high-throughput and uniform dissociation of cellular aggregates and tissues. SLAS TECHNOLOGY. 28(2). 70–81. 4 indexed citations
4.
5.
Welch, E. Celeste, et al.. (2022). Electric-field facilitated rapid and efficient dissociation of tissues Into viable single cells. Scientific Reports. 12(1). 10728–10728. 8 indexed citations
6.
Welch, E. Celeste, et al.. (2022). A Comparative Analysis of Deep Learning Models for Automated Cross-Preparation Diagnosis of Multi-Cell Liquid Pap Smear Images. Diagnostics. 12(8). 1838–1838. 18 indexed citations
7.
Welch, E. Celeste, et al.. (2021). Optimization of a Clinically Relevant Chemical-Mechanical Tissue Dissociation Workflow for Single-Cell Analysis. Cellular and Molecular Bioengineering. 14(3). 241–258. 8 indexed citations
8.
Welch, E. Celeste, et al.. (2021). Advances in Biosensors and Diagnostic Technologies Using Nanostructures and Nanomaterials. Advanced Functional Materials. 31(44). 145 indexed citations
9.
Welch, Christopher J., et al.. (2013). Evaluation of capsaicin in chili peppers and hot sauces by MISER HPLC-ESIMS. Analytical Methods. 6(3). 857–862. 25 indexed citations
10.
Mague, Joel T., et al.. (2013). Sterically congested macrobicycles with heteroatomic bridgehead functionality. Tetrahedron. 69(48). 10316–10321. 8 indexed citations
11.
Etchegaray, Jon Iker, et al.. (2012). Draper acts through the JNK pathway to control synchronous engulfment of dying germline cells by follicular epithelial cells. Development. 139(21). 4029–4039. 69 indexed citations
12.
Etchegaray, Jon Iker, et al.. (2012). Draper acts through the JNK pathway to control synchronous engulfment of dying germline cells by follicular epithelial cells. Journal of Cell Science. 125(21). e1–e1. 1 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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