Leslie Solorzano

1.3k citations
12 papers · 343 indexed · h-index 7
Topics
Single-cell and spatial transcriptomics (5 papers)Cell Image Analysis Techniques (5 papers)AI in cancer detection (4 papers)
Partner nations
SwedenFinlandDenmark

In The Last Decade

Leslie Solorzano

12 papers receiving 338 citations

Peers

Leslie Solorzano
Comparison fields: 5 of 71
  • Artificial Intelligence 137
  • Radiology, Nuclear Medicine and Imaging 122
  • Biophysics 114
  • Molecular Biology 111
  • Computer Vision and Pattern Recognition 58
Replace Can Koyuncu with:
Can Koyuncu United States
Tianhao Zhao China
Daniel Heim Germany
Quirine F. Manson Netherlands
Henrik Failmezger Germany
Mariana T. Rezende Brazil
Paul van Diest Netherlands
Venkata N. P. Vemuri United States
Zhaoxuan Ma United States
M. Milagro Fernández-Carrobles Spain
Leslie Solorzano relative to Can Koyuncu United States Can Koyuncu's profile →
Citations per field
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Can Koyuncu · 1×
Citations per year

Countries citing papers authored by Leslie Solorzano

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Solorzano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leslie Solorzano

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie Solorzano. A scholar is included among the top collaborators of Leslie Solorzano 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 Leslie Solorzano. Leslie Solorzano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 4
2 19
3 9
4 2
5 125
6 9
7 19
8 5
9 18
10 1
11 4
12 128

About Leslie Solorzano

Leslie Solorzano is a scholar working on Biophysics, Critical Care and Intensive Care Medicine and Cancer Research, having authored 12 papers that have together received 343 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Biophysics (114 citations), Health Informatics (10 citations) and Radiology, Nuclear Medicine and Imaging (122 citations). Leslie Solorzano has collaborated with scholars based in Sweden, Finland and Denmark. Frequent co-authors include Carolina Wählby, Johan Hartman, Mattias Rantalainen, Anna H. Klemm, Balázs Ács, Yinxi Wang, Stephanie Robertson, Philip J. Harrison, Ida‐Maria Sintorn and Kimmo Kartasalo. Their work appears in journals such as Bioinformatics, Annals of Oncology and Scientific Data.

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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