Mia D. Champion

1.4k total citations
16 papers, 536 citations indexed

About

Mia D. Champion is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Mia D. Champion has authored 16 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Hematology. Recurrent topics in Mia D. Champion's work include Cancer Genomics and Diagnostics (5 papers), Multiple Myeloma Research and Treatments (4 papers) and Protein Degradation and Inhibitors (4 papers). Mia D. Champion is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Multiple Myeloma Research and Treatments (4 papers) and Protein Degradation and Inhibitors (4 papers). Mia D. Champion collaborates with scholars based in United States. Mia D. Champion's co-authors include R. Scott Hawley, K. Martin Kortuem, Chang-Xin Shi, Jessica Schmidt, Yuan Xiao Zhu, Esteban Braggio, Laura A. Bruins, Rafaël Fonseca, A. Keith Stewart and P. Leif Bergsagel and has published in prestigious journals such as Nature Medicine, Blood and PLoS ONE.

In The Last Decade

Mia D. Champion

14 papers receiving 529 citations

Peers

Mia D. Champion
Comparison fields: 5 of 52
  • Molecular Biology 369
  • Hematology 230
  • Oncology 105
  • Surgery 82
  • Immunology 57
Replace Alexendar R. Perez with:
Alexendar R. Perez United States
Diane Giannola United States
Ralf Dietrich Germany
Axel Rosendahl Huber Netherlands
M. Nolte Germany
Fulvia Cerruti Italy
Ulla Bergholz Germany
Sylvie C. Meyer United States
Nobuaki Adachi Japan
Caryll Waugh Australia
Alexendar R. Perez United States View profile →
Citations per field, relative to Mia D. Champion
Mia D. Champion · 1×
Citations per year, relative to Mia D. Champion
Mia D. Champion · 1×

Countries citing papers authored by Mia D. Champion

Since Specialization
Citations

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

Fields of papers citing papers by Mia D. Champion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mia D. Champion. 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 Mia D. Champion. The network helps show where Mia D. Champion may publish in the future.

Co-authorship network of co-authors of Mia D. Champion

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 7
2 1
3 109
4 15
5 0
6 0
7 18
8 1
9 170
10 85
11 2
12 37
13 9
14 35
15 44
16 3

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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2026