Daniel Sudilovsky

2.1k citations
32 papers · 1.7k · h-index 16

Impact in

Papers in

Daniel Sudilovsky

31 papers receiving 1.6k citations

Peers

Daniel Sudilovsky
Comparison fields: 5 of 99
  • Oncology 567
  • Pulmonary and Respiratory Medicine 474
  • Cancer Research 215
  • Microbiology 8
  • Endocrinology, Diabetes and Metabolism 147
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David Garfield United States
Yoshiyasu Nakamura Japan
S Hellman United States
Ray‐Hwang Yuan Taiwan
Johanna Louhimo Finland
Brigitte Duclos France
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Sudilovsky

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sudilovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005351
2
Malignant transformation in a nontumorigenic human prostatic epithelial cell line.
2001295
3 2005146
4
Expression of the coxsackie adenovirus receptor in normal prostate and in primary and metastatic prostate carcinoma: potential relevance to gene therapy.
2002139
5 200692
6
A human prostatic epithelial model of hormonal carcinogenesis.
200190
7 199781
8
Cyclooxygenase-2 expression is related to nuclear grade in ductal carcinoma in situ and is increased in its normal adjacent epithelium.
200379
9 200170
10 200251
11 200651
12 201744
13 199841
14 200530
15 199730
16 199816
17 200515
18 201214
19 202314
20 200113

About Daniel Sudilovsky

Daniel Sudilovsky is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (3 papers), Radiology practices and education (3 papers), Prostate Cancer Treatment and Research (3 papers), Global Cancer Incidence and Screening (3 papers), Meta-analysis and systematic reviews (2 papers), AI in cancer detection (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Oncology (567 citations), Pulmonary and Respiratory Medicine (474 citations), Cancer Research (215 citations), Microbiology (8 citations) and Endocrinology, Diabetes and Metabolism (147 citations). Daniel Sudilovsky has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Yuzhuo Wang, Simon W. Hayward, Gerald R. Cunha, Gary D. Grossfeld, Baohui Zhang, Karen Chew, Mingbo Cao, Yun K. Hom, Ronald Balassanian and Stephen S. Raab. Their work appears in journals such as American Journal of Clinical Pathology, Acta Cytologica, Diagnostic Cytopathology, Science Advances and Clinical Orthopaedics and Related Research.

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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