Daniel Worroll

508 total citations
10 papers, 199 citations indexed

About

Daniel Worroll is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Daniel Worroll has authored 10 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Daniel Worroll's work include Prostate Cancer Treatment and Research (8 papers), Ubiquitin and proteasome pathways (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Daniel Worroll is often cited by papers focused on Prostate Cancer Treatment and Research (8 papers), Ubiquitin and proteasome pathways (3 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). Daniel Worroll collaborates with scholars based in United States, Canada and Israel. Daniel Worroll's co-authors include David M. Nanus, Paraskevi Giannakakou, Giuseppe Galletti, Ada Gjyrezi, Scott T. Tagawa, Luigi Portella, Fred Saad, Yang Bai, Ted P. Szatrowski and Brian J. Kirby and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Daniel Worroll

10 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Worroll United States 6 111 71 49 39 37 10 199
Eunji Hwang South Korea 10 60 0.5× 67 0.9× 37 0.8× 54 1.4× 14 0.4× 25 299
Si Kee Tan Singapore 8 117 1.1× 281 4.0× 53 1.1× 55 1.4× 17 0.5× 10 357
Ying-Hui Zhang China 9 41 0.4× 140 2.0× 51 1.0× 75 1.9× 7 0.2× 17 321
Myrna Espiritu Canada 8 135 1.2× 225 3.2× 71 1.4× 19 0.5× 123 3.3× 9 402
Michael S. Guerrero United States 7 34 0.3× 248 3.5× 73 1.5× 135 3.5× 38 1.0× 9 397
M. Dorso United States 5 32 0.3× 166 2.3× 55 1.1× 34 0.9× 76 2.1× 6 280
Mengye He China 10 73 0.7× 106 1.5× 37 0.8× 97 2.5× 42 1.1× 24 327
Jan Borggräfe Germany 7 161 1.5× 328 4.6× 118 2.4× 33 0.8× 33 0.9× 11 395
Manel Ramírez Spain 6 82 0.7× 316 4.5× 31 0.6× 39 1.0× 18 0.5× 6 382
Tommy Weiss‐Sadan Israel 6 22 0.2× 78 1.1× 44 0.9× 27 0.7× 59 1.6× 8 198

Countries citing papers authored by Daniel Worroll

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Worroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Worroll

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

All Works

10 of 10 papers shown
1.
Kim, Mijin, Chen Chen, Zvi Yaari, et al.. (2023). Nanosensor-based monitoring of autophagy-associated lysosomal acidification in vivo. Nature Chemical Biology. 19(12). 1448–1457. 58 indexed citations
2.
Mukhtar, Eiman, Luigi Portella, Adeline Berger, et al.. (2022). AR-V7 exhibits non-canonical mechanisms of nuclear import and chromatin engagement in castrate-resistant prostate cancer. eLife. 11. 14 indexed citations
3.
Gjyrezi, Ada, Giuseppe Galletti, Jiaren Zhang, et al.. (2021). Androgen receptor variant shows heterogeneous expression in prostate cancer according to differentiation stage. Communications Biology. 4(1). 785–785. 5 indexed citations
4.
5.
Worroll, Daniel, Giuseppe Galletti, Ada Gjyrezi, et al.. (2019). Androgen receptor nuclear localization correlates with AR-V7 mRNA expression in circulating tumor cells (CTCs) from metastatic castration resistance prostate cancer patients. Physical Biology. 16(3). 36003–36003. 13 indexed citations
6.
Gjyrezi, Ada, Giuseppe Galletti, Jiaren Zhang, et al.. (2019). Abstract 451: Transferrin Receptor identifies a distinct pool of circulating tumor cells from metastatic prostate cancer patients with unique molecular profiles enriched in AR variants. Cancer Research. 79(13_Supplement). 451–451. 1 indexed citations
7.
Palmieri, Benoit, et al.. (2019). Substrate mediated interaction between pairs of keratocytes: Multipole traction force models describe their migratory behavior. PLoS ONE. 14(3). e0212162–e0212162. 5 indexed citations
8.
Tagawa, Scott T., Emmanuel S. Antonarakis, Ada Gjyrezi, et al.. (2018). Expression of AR-V7 and ARv567es in Circulating Tumor Cells Correlates with Outcomes to Taxane Therapy in Men with Metastatic Prostate Cancer Treated in TAXYNERGY. Clinical Cancer Research. 25(6). 1880–1888. 86 indexed citations
9.
Galletti, Giuseppe, Daniel Worroll, David M. Nanus, & Paraskevi Giannakakou. (2017). Using circulating tumor cells to advance precision medicine in prostate cancer. Journal of Cancer Metastasis and Treatment. 3(9). 190–190. 8 indexed citations
10.

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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