P Billing
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- T-cell and B-cell Immunology 2
- Immune Response and Inflammation 2
- Galectins and Cancer Biology 1
- Immunotherapy and Immune Responses 1
-
- Glycosylation and Glycoproteins Research 3
- S100 Proteins and Annexins 1
- Co-authors
- Judith C. Gasson (2 shared papers)John F. DiPersio (2 shared papers)Richard Williams (1 shared paper)Susan Kaufman (1 shared paper)Pirooz Eghtesady (1 shared paper)Edward W. Voss (2 shared papers)Ş. Targan (1 shared paper)Alda Vidrich (1 shared paper)
- Journals
- The Journal of Immunology (1 paper)Molecular Immunology (1 paper)Annals of the New York Academy of Sciences (1 paper)Tumor Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
P Billing
8 papers receiving 448 citations
Peers
Comparison fields: 5 of 71
- Immunology 246
- Immunology and Allergy 46
- Hematology 65
- Genetics 78
- Radiology, Nuclear Medicine and Imaging 51
Countries citing papers authored by P Billing
This map shows the geographic impact of P Billing'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 P Billing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P Billing more than expected).
Fields of papers citing papers by P Billing
This network shows the impact of papers produced by P Billing. 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 P Billing. The network helps show where P Billing may publish in the future.
Co-authors
The 24 scholars most cited alongside P Billing, 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 | 1988 | 186 | |
| 2 | 1988 | 170 | |
| 3 | Nuclear localization of the antigen detected by ulcerative colitis-associated perinuclear antineutrophil cytoplasmic antibodies. | 1995 | 58 |
| 4 | 2002 | 22 | |
| 5 | 1980 | 20 | |
| 6 | 1982 | 14 | |
| 7 | 2000 | 6 | |
| 8 | 1986 | 3 |
About P Billing
P Billing is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biotechnology, having authored 8 papers that have together received 479 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Response and Inflammation (2 papers), Galectins and Cancer Biology (1 paper), S100 Proteins and Annexins (1 paper), Immunotherapy and Immune Responses (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Immunology (246 citations), Immunology and Allergy (46 citations), Hematology (65 citations), Genetics (78 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). P Billing has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Judith C. Gasson, John F. DiPersio, Richard Williams, Susan Kaufman, Pirooz Eghtesady, Edward W. Voss, Ş. Targan, Alda Vidrich, G. Gagne and David M. Kranz. Their work appears in journals such as The Journal of Immunology, Molecular Immunology, Annals of the New York Academy of Sciences, Tumor Biology and Journal of Biological Chemistry.
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.