Dianne M. Fishwild
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins 17
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 5
- Galectins and Cancer Biology 4
- Immunotherapy and Immune Responses 3
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- Monoclonal and Polyclonal Antibodies Research 13
- Biotechnology top 2%
- Transgenic Plants and Applications 9
- Endocrinology top 5%
- Immunology and Allergy top 10%
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- Glycosylation and Glycoproteins Research 6
- Co-authors
- Edgar G. EnglemanYoshinari TakasakiEng M. TanGeoffrey S. KansasSusan L. BernhardGary S. WoodStephen R. SchrammNils Lönberg
- Partner nations
- United StatesBrazil
In The Last Decade
Dianne M. Fishwild
33 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Immunology 676
- Radiology, Nuclear Medicine and Imaging 609
- Biotechnology 214
- Endocrinology 113
- Immunology and Allergy 58
Countries citing papers authored by Dianne M. Fishwild
This map shows the geographic impact of Dianne M. Fishwild'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 Dianne M. Fishwild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianne M. Fishwild more than expected).
Fields of papers citing papers by Dianne M. Fishwild
This network shows the impact of papers produced by Dianne M. Fishwild. 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 Dianne M. Fishwild. The network helps show where Dianne M. Fishwild may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dianne M. Fishwild, 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 | Performance of Aged, TransFix-Treated Blood in the Guava EasyCD4 and EasyCD8 Assays | 2005 | 2 |
| 2 | 1999 | 15 | |
| 3 | 1999 | 17 | |
| 4 | 1996 | 192 | |
| 5 | 1995 | 9 | |
| 6 | 1995 | 27 | |
| 7 | 1994 | 259 | |
| 8 | 1994 | 9 | |
| 9 | 1994 | 3 | |
| 10 | Administration of an anti-CD5 immunoconjugate to patients with rheumatoid arthritis: effect on peripheral blood mononuclear cells and in vitro immune function. | 1994 | 10 |
| 11 | 1994 | 14 | |
| 12 | 1993 | 3 | |
| 13 | 1993 | 4 | |
| 14 | 1991 | 7 | |
| 15 | 1989 | 2 | |
| 16 | 1988 | 19 | |
| 17 | 1985 | 23 | |
| 18 | 1984 | 162 | |
| 19 | 1984 | 66 | |
| 20 | 1978 | 33 |
About Dianne M. Fishwild
Dianne M. Fishwild is a scholar working on Immunology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (17 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Transgenic Plants and Applications (9 papers), T-cell and B-cell Immunology (7 papers), Glycosylation and Glycoproteins Research (6 papers), Immune Cell Function and Interaction (5 papers), Galectins and Cancer Biology (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (676 citations), Radiology, Nuclear Medicine and Imaging (609 citations) and Biotechnology (214 citations). Dianne M. Fishwild has collaborated with scholars based in United States and Brazil. Frequent co-authors include Edgar G. Engleman, Yoshinari Takasaki, Eng M. Tan, Geoffrey S. Kansas, Susan L. Bernhard, Gary S. Wood, Stephen R. Schramm, Nils Lönberg, Tasha Bengoechea and Robert M. Kay.
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.