Melissa Zhao

2.6k total citations · 1 hit paper
15 papers, 909 citations indexed

About

Melissa Zhao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Melissa Zhao has authored 15 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Melissa Zhao's work include Cancer Genomics and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Melissa Zhao is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Melissa Zhao collaborates with scholars based in United States, United Kingdom and Denmark. Melissa Zhao's co-authors include J. Jack Lee, Maria Schwaederlé, Richard L. Schilsky, Vladimir Lazar, John Mendelsohn, Razelle Kurzrock, Alexander M.M. Eggermont, Brian Leyland‐Jones, Eric C. Hsu and Hui Zheng and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Melissa Zhao

13 papers receiving 889 citations

Hit Papers

A multimodal generative AI copilot for human pathology 2024 2026 2025 2024 50 100 150

Peers

Melissa Zhao
Comparison fields: 5 of 105
  • Cancer Research 372
  • Oncology 257
  • Pulmonary and Respiratory Medicine 198
  • Molecular Biology 165
  • Genetics 143
Replace Ninah Achacoso with:
Ninah Achacoso United States
Olorunsola F. Agbaje United Kingdom
PA Fasching Germany
Tatiana Vidaurre Peru
Elizabeth M. Azzato United States
Tom Maishman United Kingdom
Isabel Amendoeira Portugal
Manohar Pradhan Norway
Tammy Piper United Kingdom
Xingrui Li China
Ninah Achacoso United States View profile →
Citations per field, relative to Melissa Zhao
Melissa Zhao · 1×
Citations per year, relative to Melissa Zhao
Melissa Zhao · 1×

Countries citing papers authored by Melissa Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Zhao

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2
A multimodal generative AI copilot for human pathology breakdown →
156
3 3
4 16
5 11
6 0
7 1
8 25
9 0
10 36
11 4
12 235
13 5
14 326
15 89

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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