Michelle Xia

1.0k total citations
34 papers, 212 citations indexed

About

Michelle Xia is a scholar working on Statistics and Probability, Oncology and Epidemiology. According to data from OpenAlex, Michelle Xia has authored 34 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 9 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Michelle Xia's work include Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Michelle Xia is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Michelle Xia collaborates with scholars based in United States, China and Canada. Michelle Xia's co-authors include Paul Gustafson, Xinyu Wu, Lei Hua, Baiyong Li, Warren Michelow, M McGuire, Réka Gustafson, Mark Gilbert, David Moore and Reetesh K. Pai and has published in prestigious journals such as Blood, Cancer Research and American Journal of Epidemiology.

In The Last Decade

Michelle Xia

33 papers receiving 211 citations

Peers

Michelle Xia
Comparison fields: 5 of 68
  • Oncology 58
  • Economics and Econometrics 45
  • Statistics and Probability 43
  • Finance 33
  • Epidemiology 30
Replace Mehreteab Aregay with:
Mehreteab Aregay United States
Clare Lendrem United Kingdom
Renske M.T. ten Ham Netherlands
Caroline S. Bennette United States
Karen Tricker United Kingdom
Grace Hampson United Kingdom
A Mariotto United States
Tie‐Hua Ng United States
Mohamed A. Ismail Egypt
Francis V. James India
Mehreteab Aregay United States View profile →
Citations per field, relative to Michelle Xia
Michelle Xia · 1×
Citations per year, relative to Michelle Xia
Michelle Xia · 1×

Countries citing papers authored by Michelle Xia

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Xia. A scholar is included among the top collaborators of Michelle Xia 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 Xia. Michelle Xia 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 11
2 2
3 3
4 30
5 8
6 1
7 1
8 1
9 1
10 1
11 4
12 10
13 2
14 8
15 3
16 7
17 1
18 1
19 4
20 27

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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