John D. Pound
- Immunology top 1%
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 13
- Immunotherapy and Immune Responses 13
- Phagocytosis and Immune Regulation 10
- Immune cells in cancer 5
-
- Monoclonal and Polyclonal Antibodies Research 14
- Immunology and Allergy top 5%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 7
- Extracellular vesicles in disease 5
- Cancer Research top 10%
- Co-authors
- Christopher D. GregoryJohn LundRoy JefferisJohn GordonMargaret GoodallRoyston JefferisCarol Anne OgdenR Jefferis
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
John D. Pound
52 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 116
- Immunology 1.7k
- Radiology, Nuclear Medicine and Imaging 827
- Immunology and Allergy 140
- Molecular Biology 1.3k
- Cancer Research 224
Countries citing papers authored by John D. Pound
This map shows the geographic impact of John D. Pound'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 John D. Pound with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Pound more than expected).
Fields of papers citing papers by John D. Pound
This network shows the impact of papers produced by John D. Pound. 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 John D. Pound. The network helps show where John D. Pound may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John D. Pound, 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 | 2025 | 2 | |
| 2 | 2017 | 47 | |
| 3 | Quantification of human urinary exosomes by nanoparticle tracking analysis | 2014 | 3 |
| 4 | 2013 | 173 | |
| 5 | 2010 | 175 | |
| 6 | 2008 | 173 | |
| 7 | 2005 | 108 | |
| 8 | 2003 | 16 | |
| 9 | 2000 | 29 | |
| 10 | 2000 | 35 | |
| 11 | 1999 | 57 | |
| 12 | 1998 | 12 | |
| 13 | 1998 | 255 | |
| 14 | 1997 | 9 | |
| 15 | Effector mechanisms activated by human IgG subclass antibodies: clinical and molecular aspects. Review article. | 1994 | 27 |
| 16 | 1993 | 15 | |
| 17 | 1993 | 62 | |
| 18 | 1992 | 41 | |
| 19 | 1990 | 7 | |
| 20 | 1990 | 30 |
About John D. Pound
John D. Pound is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Rheumatology and Molecular Biology, having authored 52 papers that have together received 3.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (13 papers), Phagocytosis and Immune Regulation (10 papers), Glycosylation and Glycoproteins Research (7 papers), Extracellular vesicles in disease (5 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Immunology (1.7k citations), Radiology, Nuclear Medicine and Imaging (827 citations), Immunology and Allergy (140 citations), Molecular Biology (1.3k citations) and Cancer Research (224 citations). John D. Pound has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Christopher D. Gregory, John Lund, Roy Jefferis, John Gordon, Margaret Goodall, Royston Jefferis, Carol Anne Ogden, R Jefferis, Nobuhiro Takahashi and Catriona A. Ford. Their work appears in journals such as Molecular Immunology, Immunology, The Journal of Immunology, Journal of Immunological Methods and European Journal of Immunology.
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.