Idalid Franco

2.2k citations
58 papers · 1.3k indexed · 2 hit papers · h-index 13
Topics
Advances in Oncology and Radiotherapy (15 papers)Global Cancer Incidence and Screening (10 papers)Diversity and Career in Medicine (9 papers)

In The Last Decade

Idalid Franco

54 papers receiving 1.3k citations

Hit Papers

Deep Learning Predicts Lung Cancer Treatment Response fro...201920262021202320192024100200300400

Peers

Idalid Franco
Comparison fields: 5 of 105
  • Radiology, Nuclear Medicine and Imaging 639
  • Pulmonary and Respiratory Medicine 599
  • Artificial Intelligence 241
  • Oncology 235
  • Biomedical Engineering 181
Replace Daniel W. Golden with:
Daniel W. Golden United States
Julian C. Hong United States
Mark F. McEntee Australia
Jacopo Lenkowicz Italy
Edward Christopher Dee United States
Sharon W. Kwan United States
Christoph Wald United States
Shalini Moningi United States
Gregory R. Hart United States
Srinivas Raman Canada
Idalid Franco relative to Daniel W. Golden United States Daniel W. Golden's profile →
Citations per field
00.5×3.1×
Daniel W. Golden · 1×
Citations per year

Countries citing papers authored by Idalid Franco

Since Specialization
Citations

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

Fields of papers citing papers by Idalid Franco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Idalid Franco

This figure shows the co-authorship network connecting the top 25 collaborators of Idalid Franco. A scholar is included among the top collaborators of Idalid Franco 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 Idalid Franco. Idalid Franco 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 3
3
Large language models to identify social determinants of health in electronic health recordsbreakdown →
119
4 2
5 1
6 3
7 4
8 1
9 14
10 13
11 10
12 17
13 8
14 13
15
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imagingbreakdown →
402
16 13
17 56
18 1
19 36
20 55

About Idalid Franco

Idalid Franco is a scholar working on Radiology, Nuclear Medicine and Imaging, Gender Studies and Oncology, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advances in Oncology and Radiotherapy (15 papers), Global Cancer Incidence and Screening (10 papers) and Diversity and Career in Medicine (9 papers). The work is most often cited by research in Health Informatics (81 citations), Radiology, Nuclear Medicine and Imaging (639 citations) and Pulmonary and Respiratory Medicine (599 citations). Idalid Franco has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Raymond H. Mak, Hugo J.W.L. Aerts, Thibaud Coroller, Chintan Parmar, Roman Zeleznik, Ahmed Hosny, Yiwen Xu, Paul L. Nguyen, Ying Hou and Vishesh Agrawal. Their work appears in journals such as JAMA, Journal of Clinical Oncology and PLoS ONE.

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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