Michael Hubank

13.5k total citations · 2 hit papers
128 papers, 5.2k citations indexed

About

Michael Hubank is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Michael Hubank has authored 128 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 26 papers in Oncology and 21 papers in Cancer Research. Recurrent topics in Michael Hubank's work include Cancer Genomics and Diagnostics (15 papers), Acute Lymphoblastic Leukemia research (13 papers) and Gene expression and cancer classification (10 papers). Michael Hubank is often cited by papers focused on Cancer Genomics and Diagnostics (15 papers), Acute Lymphoblastic Leukemia research (13 papers) and Gene expression and cancer classification (10 papers). Michael Hubank collaborates with scholars based in United Kingdom, United States and India. Michael Hubank's co-authors include David G. Schatz, Robin E. Callard, Jaroslav Stark, Martino Barenco, Nabeel A. Affara, Vincent Plagnol, William V. Holt, Alireza Fazeli, Daniel Brewer and Paul Kellam and has published in prestigious journals such as Nature, New England Journal of Medicine and Nucleic Acids Research.

In The Last Decade

Michael Hubank

123 papers receiving 5.1k citations

Hit Papers

Identifying differences in mRNA expression by representat... 1994 2026 2004 2015 1994 2015 200 400 600

Peers

Michael Hubank
Comparison fields: 5 of 151
  • Molecular Biology 3.0k
  • Oncology 725
  • Immunology 655
  • Genetics 559
  • Cancer Research 474
Replace Isao Kitajima with:
Isao Kitajima Japan
Rong Zeng China
Jun Miyoshi Japan
Angela Lee United States
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Edward Y. Chen United States
Martin Eisenacher Germany
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Simon Koplev United States
Christine A. Wells Australia
Isao Kitajima Japan View profile →
Citations per field, relative to Michael Hubank
Michael Hubank · 1×
Citations per year, relative to Michael Hubank
Michael Hubank · 1×

Countries citing papers authored by Michael Hubank

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hubank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hubank

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hubank. A scholar is included among the top collaborators of Michael Hubank 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 Michael Hubank. Michael Hubank 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 0
2 1
3 1
4 4
5 4
6 15
7 1
8 1
9 48
10 88
11 283
12 18
13 55
14 42
15 43
16 9
17
Gene expression profiling in childhood acute leukaemia; a useful classification tool and a first promising insight into drug resistance.
1
18 34
19 95
20 112

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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