Daniela Proca

19 papers receiving 314 citations

Peers

Daniela Proca
Comparison fields: 5 of 49
  • Oncology 168
  • Hepatology 47
  • Surgery 139
  • Epidemiology 107
  • Pathology and Forensic Medicine 50
Replace Kazuhiro Tasaki with:
Kazuhiro Tasaki Japan
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Fan Lin United States
Jan P. Deroose Netherlands
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Jun‐ichi Tamaru Japan
Enrique Martínez‐Barba Spain
Mark Bunker United States
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Daniela Proca relative to Kazuhiro Tasaki Japan Kazuhiro Tasaki's profile →
Citations per field
00.5×1.5×2.4×
Kazuhiro Tasaki · 1×
Citations per year

Countries citing papers authored by Daniela Proca

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Proca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Daniela Proca, 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 Daniela Proca Line = papers co-authored together Daniela Proca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200069
2 200244
3 200241
4 200038
5 200223
6 200022
7 200117
8 199816
9 200615
10 200811
11
200011
12 20085
13 20003
14 20233
15
Perforin-positive cytotoxic lymphocytes in pregnancy.
19992
16 20232
17 20111
18 20181
19
Radiologic and clinicopathologic features of eosinophilic solid and cystic renal cell carcinoma: report of two cases and review of literature.
20231
20 20240

About Daniela Proca

Daniela Proca is a scholar working on Oncology, Epidemiology, Surgery, Pathology and Forensic Medicine and Molecular Biology, having authored 21 papers that have together received 325 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Cervical Cancer and HPV Research (3 papers), Soft tissue tumor case studies (2 papers), Genetic factors in colorectal cancer (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers) and Oral and Maxillofacial Pathology (2 papers). The work is most often cited by research in Oncology (168 citations), Hepatology (47 citations), Surgery (139 citations), Epidemiology (107 citations) and Pathology and Forensic Medicine (50 citations). Daniela Proca has collaborated with scholars based in United States. Frequent co-authors include Wendy L. Frankel, Adina Cioc, E. Christopher Ellison, Sedigheh Keyhani‐Rofagha, Barry R. De Young, Joel G. Lucas, Theodore H. Niemann, Barry R. DeYoung, Patrick Ross and Jerry W. Pratt. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Acta Cytologica, Applied immunohistochemistry & molecular morphology, Modern Pathology and Pulmonary Circulation.

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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