Peter Mottram
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Reproductive System and Pregnancy
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- Chemokine receptors and signaling
- CAR-T cell therapy research
Papers in ⓘ
-
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Immune cells in cancer 2
- Virology 1
- Co-authors
- Weiping Zou (7 shared papers)Shuang Wei (7 shared papers)Linhua Zou (6 shared papers)Ilona Kryczek (6 shared papers)Tyler J. Curiel (5 shared papers)Pui Cheng (5 shared papers)Gefeng Zhu (3 shared papers)Lieping Chen (3 shared papers)
- Journals
- Cancer Research (5 papers)Toxicological Sciences (1 paper)The Journal of Immunology (1 paper)Biology of Reproduction (1 paper)Nanomedicine (1 paper)
- Partner nations
- United StatesPolandBelgium
In The Last Decade
Peter Mottram
13 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 1.9k
- Oncology 1.2k
- Reproductive Medicine 123
- Cancer Research 154
- Immunology and Allergy 55
Countries citing papers authored by Peter Mottram
This map shows the geographic impact of Peter Mottram'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 Peter Mottram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Mottram more than expected).
Fields of papers citing papers by Peter Mottram
This network shows the impact of papers produced by Peter Mottram. 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 Peter Mottram. The network helps show where Peter Mottram may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Mottram, 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 | B7-H4 expression identifies a novel suppressive macrophage population in human ovarian carcinoma Hit paper breakdown → | 2006 | 581 |
| 2 | 2004 | 354 | |
| 3 | 2005 | 340 | |
| 4 | 2005 | 304 | |
| 5 | 2007 | 252 | |
| 6 | 2004 | 228 | |
| 7 | 2006 | 219 | |
| 8 | 2009 | 59 | |
| 9 | 2016 | 23 | |
| 10 | 1999 | 21 | |
| 11 | 2014 | 21 | |
| 12 | 2014 | 8 | |
| 13 | 2024 | 5 |
About Peter Mottram
Peter Mottram is a scholar working on Immunology, Virology, Molecular Medicine, Endocrinology and Oncology, having authored 13 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Chemokine receptors and signaling (3 papers), Immune cells in cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Mosquito-borne diseases and control (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology (1.9k citations), Oncology (1.2k citations), Reproductive Medicine (123 citations), Cancer Research (154 citations) and Immunology and Allergy (55 citations). Peter Mottram has collaborated with scholars based in United States, Poland and Belgium. Frequent co-authors include Weiping Zou, Shuang Wei, Linhua Zou, Ilona Kryczek, Tyler J. Curiel, Pui Cheng, Gefeng Zhu, Lieping Chen, Xavier Álvarez and Andrew A. Lackner. Their work appears in journals such as Cancer Research, Toxicological Sciences, The Journal of Immunology, Biology of Reproduction and Nanomedicine.
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.