Diana Montezuma

921 citations
31 papers · 582 indexed · h-index 15
Topics
AI in cancer detection (11 papers)Epigenetics and DNA Methylation (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsBritish Journal of Cancer

In The Last Decade

Diana Montezuma

28 papers receiving 577 citations

Peers

Diana Montezuma
Comparison fields: 5 of 80
  • Molecular Biology 249
  • Artificial Intelligence 128
  • Cancer Research 125
  • Oncology 121
  • Surgery 117
Replace Sudhir Perincheri with:
Sudhir Perincheri United States
Alarice Lowe United States
Lisa Browning United Kingdom
Minsun Jung South Korea
Annika Blank Switzerland
Gary Tozbikian United States
Alfredo Zito Italy
Hyeyoon Chang South Korea
R. Storey Wilson United States
Junjie Kuang China
Diana Montezuma relative to Sudhir Perincheri United States Sudhir Perincheri's profile →
Citations per field
00.5×2.7×
Sudhir Perincheri · 1×
Citations per year

Countries citing papers authored by Diana Montezuma

Since Specialization
Citations

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

Fields of papers citing papers by Diana Montezuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Montezuma

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Montezuma. A scholar is included among the top collaborators of Diana Montezuma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diana Montezuma. Diana Montezuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 15
4 1
5 1
6 4
7 9
8 2
9 5
10 20
11 14
12 4
13 7
14 47
15 19
16 1
17 15
18 36
19 19
20 27

About Diana Montezuma

Diana Montezuma is a scholar working on Biophysics, Health Informatics and Artificial Intelligence, having authored 31 papers that have together received 582 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Epigenetics and DNA Methylation (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Health Informatics (19 citations), Cancer Research (125 citations) and Oncology (121 citations). Diana Montezuma has collaborated with scholars based in Portugal, Netherlands and France. Frequent co-authors include Rui Henrique, Cármen Jerónimo, Pedro Costa‐Pinheiro, Fernando Schmitt, Jaime S. Cardoso, Pedro C. Neto, Ümit İnce, Şule Canberk, Isabel Pinto and Fernando Schmitt. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and British Journal of 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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