Jasna Metović

1.2k citations
48 papers · 687 · h-index 16

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics

Papers in

    • Lung Cancer Research Studies 14
    • Pancreatic and Hepatic Oncology Research 4
    • Cancer Cells and Metastasis 3
    • Neuroendocrine Tumor Research Advances 13

Jasna Metović

46 papers receiving 680 citations

Peers

Jasna Metović
Comparison fields: 5 of 89
  • Oncology 309
  • Cancer Research 120
  • Neurology 100
  • Epidemiology 211
  • Pulmonary and Respiratory Medicine 155
Replace Yi‐Ting Yen with:
Yi‐Ting Yen Taiwan
Arrigo Bondi Italy
Serpil Dızbay Sak Türkiye
Wenming Wu China
Xiaofan Lu China
Linda Dainese France
Aruna Nambirajan India
Xiaozheng Huang China
Miguel Pérez‐Guillermo Spain
Vivian Weiß United States
Jasna Metović relative to Yi‐Ting Yen Taiwan Yi‐Ting Yen's profile →
Citations per field
00.5×2.9×
Yi‐Ting Yen · 1×
Citations per year

Countries citing papers authored by Jasna Metović

Since Specialization
Citations

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

Fields of papers citing papers by Jasna Metović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017127
2 202157
3 202145
4 201839
5 202433
6 201828
7 202023
8 202222
9 201921
10 201720
11 202119
12 201918
13 202217
14 202017
15 202017
16 201916
17 202115
18 201911
19 202010
20 202010

About Jasna Metović

Jasna Metović is a scholar working on Oncology, Epidemiology, Molecular Biology, Surgery and Cancer Research, having authored 48 papers that have together received 687 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (14 papers), Neuroendocrine Tumor Research Advances (13 papers), Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (6 papers), Neuroblastoma Research and Treatments (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Oncology (309 citations), Cancer Research (120 citations), Neurology (100 citations), Epidemiology (211 citations) and Pulmonary and Respiratory Medicine (155 citations). Jasna Metović has collaborated with scholars based in Italy, United States and Colombia. Frequent co-authors include Mauro Papotti, Paola Cassoni, Isabella Castellano, Luca Bertero, Marco Volante, Federica Massa, Umberto Ricardi, Simona Osella‐Abate, Roberto Zanetti and Anna Sapino. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Endocrine Pathology, Endocrine Related Cancer, Cancers and Biomedicines.

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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