Bartholomew Starich

744 total citations · 1 hit paper
8 papers, 486 citations indexed

About

Bartholomew Starich is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Bartholomew Starich has authored 8 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Bartholomew Starich's work include Telomeres, Telomerase, and Senescence (2 papers), Cellular Mechanics and Interactions (2 papers) and Nuclear Structure and Function (1 paper). Bartholomew Starich is often cited by papers focused on Telomeres, Telomerase, and Senescence (2 papers), Cellular Mechanics and Interactions (2 papers) and Nuclear Structure and Function (1 paper). Bartholomew Starich collaborates with scholars based in United States, Canada and South Korea. Bartholomew Starich's co-authors include Denis Wirtz, Carolyn Marar, Shyam B. Khatau, Hasini Jayatilaka, Jerry Lee, Tomer Meirson, Hava Gil-Henn, Wentao Wang, Elizabeth M. Jaffee and Hui Zhang and has published in prestigious journals such as Nature Immunology, Oncogene and Science Advances.

In The Last Decade

Bartholomew Starich

8 papers receiving 483 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Extracellular vesicles in immunomodulation and tumor progression

2021 409 citations Carolyn Marar, Bartholomew Starich et al. Nature Immunology profile →

Peers

Bartholomew Starich

MB

CR

IMMUN

BE

ONCOL

Daniel Xin Zhang Hong Kong

Yingshu Cui China

Mary C. Patton United States

Shuowu Liu China

Mayra García United States

Lizandra Jimenez United States

Jena Tavormina United States

Carolyn Marar United States

Taral R. Lunavat Sweden

Daniel Xin Zhang Hong Kong

Bartholomew Starich

377 ×0.9

MB

238 ×1.2

CR

66 ×0.5

IMMUN

77 ×0.7

BE

43 ×0.7

ONCOL

Citations per year, relative to Bartholomew Starich Bartholomew Starich (= 1×) peers Daniel Xin Zhang

Countries citing papers authored by Bartholomew Starich

Since Specialization

Citations

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

Fields of papers citing papers by Bartholomew Starich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bartholomew Starich

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

All Works

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8 of 8 papers shown

1.

Macaluso, Nicolas C., Yukang Li, Bartholomew Starich, et al.. (2025). Single-cell morphology encodes functional subtypes of senescence in aging human dermal fibroblasts. Science Advances. 11(17). eads1875–eads1875. 3 indexed citations

2.

Zamponi, Nahuel, Hasini Jayatilaka, Bartholomew Starich, et al.. (2024). Profiling Dynamic Patterns of Single‐Cell Motility. Advanced Science. 11(38). e2400918–e2400918. 4 indexed citations

3.

Clark, D.D., Ryan M. Carney, Bartholomew Starich, et al.. (2024). E-cadherin interacts with EGFR resulting in hyper-activation of ERK in multiple models of breast cancer. Oncogene. 43(19). 1445–1462. 18 indexed citations

4.

Starich, Bartholomew, Zachary Schneiderman, Pei‐Hsun Wu, et al.. (2024). Local, Sustained, and Targeted Co-Delivery of MEK Inhibitor and Doxorubicin Inhibits Tumor Progression in E-Cadherin-Positive Breast Cancer. Pharmaceutics. 16(8). 981–981. 1 indexed citations

5.

Aifuwa, Ivie, Byoung Choul Kim, Bartholomew Starich, et al.. (2022). Senescent stroma induces nuclear deformations in cancer cells via the inhibition of RhoA/ROCK/myosin II-based cytoskeletal tension. PNAS Nexus. 2(1). pgac270–pgac270. 10 indexed citations

6.

Wang, Wentao, Bartholomew Starich, Haotian Tan, et al.. (2022). Engineered bispecific antibodies targeting the interleukin-6 and -8 receptors potently inhibit cancer cell migration and tumor metastasis. Molecular Therapy. 30(11). 3430–3449. 18 indexed citations

7.

Marar, Carolyn, Bartholomew Starich, & Denis Wirtz. (2021). Extracellular vesicles in immunomodulation and tumor progression. Nature Immunology. 22(5). 560–570. 409 indexed citations breakdown →

8.

Jayatilaka, Hasini, Tomer Meirson, Bartholomew Starich, et al.. (2018). Tumor cell density regulates matrix metalloproteinases for enhanced migration. Oncotarget. 9(66). 32556–32569. 23 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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