Scott Silva

33 papers receiving 654 citations

Peers

Scott Silva
Comparison fields: 5 of 70
  • Hepatology 69
  • Obstetrics and Gynecology 70
  • Radiation 53
  • Molecular Biology 237
  • Epidemiology 94
Replace Xiangyong Hao with:
Xiangyong Hao China
Jinzhi Wang China
Hanzi Xu China
Huiqiang Huang China
Jiandong Zhao China
Fan Zhou China
Ching‐Ching Sung United States
Juan Pu China
Geertruida N. Jonges Netherlands
Hongwei Guan China
Scott Silva relative to Xiangyong Hao China Xiangyong Hao's profile →
Citations per field
00.5×2×3×4×4.8×
Xiangyong Hao · 1×
Citations per year

Countries citing papers authored by Scott Silva

Since Specialization
Citations

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

Fields of papers citing papers by Scott Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Silva Line = papers co-authored together Scott Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009151
2 200698
3 200892
4 201571
5 201070
6 200831
7 200925
8 200920
9
The effect of PTEN on serotonin synthesis and secretion from the carcinoid cell line BON.
201115
10 201812
11 202011
12 20168
13 20197
14 20217
15 20176
16 20196
17 20246
18 20205
19 20184
20 20163

About Scott Silva

Scott Silva is a scholar working on Obstetrics and Gynecology, Radiation, Epidemiology, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 34 papers that have together received 668 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (8 papers), Neuroendocrine Tumor Research Advances (6 papers), Advanced Radiotherapy Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Soft Robotics and Applications (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Head and Neck Cancer Studies (2 papers) and Cervical Cancer and HPV Research (1 paper). The work is most often cited by research in Hepatology (69 citations), Obstetrics and Gynecology (70 citations), Radiation (53 citations), Molecular Biology (237 citations) and Epidemiology (94 citations). Scott Silva has collaborated with scholars based in United States, United Arab Emirates and Saudi Arabia. Frequent co-authors include Bernard Mark Evers, Piotr G. Rychahou, Lindsey N. Jackson, Srinivasan Rajaraman, Suimin Qiu, Kanika A. Bowen, Eun Young Lee, Matthew M. Harkenrider, Fiori Alite and William Small Jr.. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Brachytherapy, Gynecologic Oncology, Clinical Cancer Research and International Journal of Gynecological Cancer.

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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