Michele W.L. Teng
- Immunology top 0.1%
- Immune Cell Function and Interaction 43
- Immunotherapy and Immune Responses 42
- T-cell and B-cell Immunology 15
- Psoriasis: Treatment and Pathogenesis 8
- Oncology top 0.1%
- CAR-T cell therapy research 43
- Cancer Immunotherapy and Biomarkers 40
- Cytokine Signaling Pathways and Interactions 6
- Physiology top 0.1%
- Adenosine and Purinergic Signaling 9
- Cancer Research top 1%
- Co-authors
- Mark J. SmythShin Foong NgiowJake S. O’DonnellAntoni RibasArabella YoungMaya KansaraDavid M. ThomasDipti Vijayan
- Cited by
- ImmunologyOncologyPhysiology
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Michele W.L. Teng
94 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology 8.3k
- Oncology 9.2k
- Physiology 1.0k
- Cancer Research 1.4k
- Pulmonary and Respiratory Medicine 1.9k
Countries citing papers authored by Michele W.L. Teng
This map shows the geographic impact of Michele W.L. Teng'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 Michele W.L. Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele W.L. Teng more than expected).
Fields of papers citing papers by Michele W.L. Teng
This network shows the impact of papers produced by Michele W.L. Teng. 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 Michele W.L. Teng. The network helps show where Michele W.L. Teng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michele W.L. Teng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 63 | |
| 2 | 2019 | 35 | |
| 3 | 2019 | 22 | |
| 4 | 2019 | 106 | |
| 5 | 2018 | 13 | |
| 6 | 2018 | 42 | |
| 7 | 2016 | 72 | |
| 8 | 2016 | 76 | |
| 9 | 2016 | 187 | |
| 10 | 2016 | 89 | |
| 11 | Improved Efficacy of Neoadjuvant Compared to Adjuvant Immunotherapy to Eradicate Metastatic Diseasebreakdown → | 2016 | 569 |
| 12 | 2014 | 30 | |
| 13 | 2012 | 257 | |
| 14 | 2012 | 88 | |
| 15 | 2011 | 469 | |
| 16 | 2011 | 320 | |
| 17 | 2010 | 149 | |
| 18 | 2010 | 58 | |
| 19 | 2008 | 23 | |
| 20 | 2007 | 55 |
About Michele W.L. Teng
Michele W.L. Teng is a scholar working on Immunology, Oncology and Physiology, having authored 95 papers that have together received 15.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (43 papers), Immune Cell Function and Interaction (43 papers), Immunotherapy and Immune Responses (42 papers), Cancer Immunotherapy and Biomarkers (40 papers), T-cell and B-cell Immunology (15 papers), Adenosine and Purinergic Signaling (9 papers), Psoriasis: Treatment and Pathogenesis (8 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Immunology (8.3k citations), Oncology (9.2k citations) and Physiology (1.0k citations). Michele W.L. Teng has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Mark J. Smyth, Shin Foong Ngiow, Jake S. O’Donnell, Antoni Ribas, Arabella Young, Maya Kansara, David M. Thomas, Dipti Vijayan, Stephen J. Blake and Phillip K. Darcy. Their work appears in journals such as Cancer Research, OncoImmunology, The Journal of Immunology, Clinical Cancer Research and Proceedings of the National Academy of Sciences.
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.