Michael Tees

1.1k citations
49 papers · 678 · h-index 13

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Virus-based gene therapy research
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

Michael Tees

45 papers receiving 653 citations

Peers

Michael Tees
Comparison fields: 5 of 69
  • Genetics 112
  • Oncology 266
  • Pathology and Forensic Medicine 155
  • Hematology 70
  • Nutrition and Dietetics 92
Replace Carole Brosseau with:
Carole Brosseau France
Masafumi Seki Japan
Seyed Mehdi Hashemi Iran
E. O. Ukaejiofo Nigeria
Nitya Jain United States
Yiwei Ling Japan
Dimitris Rigopoulos Greece
Satoshi Inaba Japan
Neal Smith United States
Tareq Hossan Bangladesh
Michael Tees relative to Carole Brosseau France Carole Brosseau's profile →
Citations per field
00.5×3.5×
Carole Brosseau · 1×
Citations per year

Countries citing papers authored by Michael Tees

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Tees, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Tees Line = papers co-authored together Michael Tees links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009223
2 200959
3 202038
4 202135
5 202134
6 202332
7 202230
8 201225
9 202121
10 202115
11 202314
12 202213
13 202112
14 202511
15 202311
16
Abstract 3272: Effect of Non-Soy Legume Consumption on Cholesterol Levels: A Meta-Analysis of Randomized Controlled Trials
200810
17 20169
18 20238
19 20228
20 20237

About Michael Tees

Michael Tees is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Immunology and Hematology, having authored 49 papers that have together received 678 indexed citations. Recurring topics across this work include CAR-T cell therapy research (30 papers), Lymphoma Diagnosis and Treatment (17 papers), Chronic Lymphocytic Leukemia Research (15 papers), Biosimilars and Bioanalytical Methods (10 papers), Chronic Myeloid Leukemia Treatments (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Protein Degradation and Inhibitors (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Genetics (112 citations), Oncology (266 citations), Pathology and Forensic Medicine (155 citations), Hematology (70 citations) and Nutrition and Dietetics (92 citations). Michael Tees has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Lydia Bazzano, Angela M. Thompson, Donna M. Winham, Catherine Nguyen, Ian W. Flinn, Frederick L. Locke, David B. Miklos, Sattva S. Neelapu, Gabriella Pridjian and Xu Xiong. Their work appears in journals such as Journal of Clinical Oncology, Blood, HemaSphere, Transplantation and Cellular Therapy and Hematological Oncology.

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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