Michelle Yang

686 total citations
35 papers, 394 citations indexed

About

Michelle Yang is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Michelle Yang has authored 35 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 15 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Michelle Yang's work include Pancreatic and Hepatic Oncology Research (7 papers), Neuroendocrine Tumor Research Advances (4 papers) and COVID-19 and Mental Health (3 papers). Michelle Yang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (7 papers), Neuroendocrine Tumor Research Advances (4 papers) and COVID-19 and Mental Health (3 papers). Michelle Yang collaborates with scholars based in United States, China and Canada. Michelle Yang's co-authors include Joseph Misdraji, Michal Kamionek, Thomas Arnason, Rhonda K. Yantiss, Amitabh Srivastava, Leona A. Doyle, Masato Yozu, James C. Cusack, Robert D. Odze and Namrata Setia and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Michelle Yang

33 papers receiving 385 citations

Peers

Michelle Yang
Comparison fields: 5 of 64
  • Surgery 181
  • Oncology 135
  • Molecular Biology 96
  • Emergency Medicine 91
  • Reproductive Medicine 91
Replace Rhonda Farrell with:
Rhonda Farrell Australia
George Vorgias Greece
Maciej Stukan Poland
Magdalena Skórzewska Poland
Russalina Mavrova Germany
Lauren Cobb United States
Andrea Wahner Hendrickson United States
Shinichi Tate Japan
Carlos Chaves Faloppa Brazil
Giuseppe Laurelli Italy
Rhonda Farrell Australia View profile →
Citations per field, relative to Michelle Yang
Michelle Yang · 1×
Citations per year, relative to Michelle Yang
Michelle Yang · 1×

Countries citing papers authored by Michelle Yang

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Yang. A scholar is included among the top collaborators of Michelle Yang 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 Michelle Yang. Michelle Yang 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
# Work Indexed citations
1 8
2 2
3 2
4 6
5 2
6 2
7 0
8 1
9 21
10
Utility of HNF-1B and a panel of lineage-specific biomarkers to optimize the diagnosis of pancreatic ductal adenocarcinoma.
2
11 9
12 1
13 41
14 10
15 22
16 4
17 10
18 21
19 7
20 30

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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