Yulia Bronstein

1.3k citations
15 papers · 903 · h-index 10

Impact in

  • Oncology top 5%
    • Cutaneous Melanoma Detection and Management
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • CAR-T cell therapy research
    • Thyroid Cancer Diagnosis and Treatment

Papers in

Yulia Bronstein

15 papers receiving 884 citations

Peers

Yulia Bronstein
Comparison fields: 5 of 66
  • Oncology 644
  • Endocrinology, Diabetes and Metabolism 140
  • Radiology, Nuclear Medicine and Imaging 177
  • Pulmonary and Respiratory Medicine 148
  • Epidemiology 144
Replace Elena Leonardi with:
Elena Leonardi Italy
Naohito Yamamoto Japan
Shuangmei Zou China
Bernies van der Hiel Netherlands
Malte Kircher Germany
Sophia K. Apple United States
Radan Džodić Serbia
Rodney V. Pozderac United States
Somali Gavane United States
Kenneth W. Berean Canada
Yulia Bronstein relative to Elena Leonardi Italy Elena Leonardi's profile →
Citations per field
00.5×5.2×
Elena Leonardi · 1×
Citations per year

Countries citing papers authored by Yulia Bronstein

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Bronstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yulia Bronstein, 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 Yulia Bronstein Line = papers co-authored together Yulia Bronstein links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2010220
2 2011191
3 2004162
4 2010151
5 201146
6 201236
7 201130
8 201123
9 201415
10 202110
11 20096
12 20224
13 20104
14 20103
15 20092

About Yulia Bronstein

Yulia Bronstein is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 15 papers that have together received 903 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (7 papers), Melanoma and MAPK Pathways (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (2 papers), HER2/EGFR in Cancer Research (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Brain Metastases and Treatment (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Oncology (644 citations), Endocrinology, Diabetes and Metabolism (140 citations), Radiology, Nuclear Medicine and Imaging (177 citations), Pulmonary and Respiratory Medicine (148 citations) and Epidemiology (144 citations). Yulia Bronstein has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Chaan S. Ng, Patrick Hwu, Wen-Jen Hwu, Jeffrey E. Gershenwald, Robert L. Askew, Yan Xing, Richard E. Royal, M. I. Ross, J. N. Cormier and Evelyne M. Loyer. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Roentgenology, Melanoma Research, JNCI Journal of the National Cancer Institute and Journal of Digital Imaging.

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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