M R Stroud
- Molecular Biology top 10%
- Organic Chemistry top 10%
- Immunology top 10%
- Cell Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- S HakomoriSen‐itiroh HakomoriBarbara DeanB A FendersonT. TOYOKUNIIvan EggensHiroyuki NojiriEdward Nudelman
- Topics
- Glycosylation and Glycoproteins Research (13 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Galectins and Cancer Biology (5 papers)
- Partner nations
- United StatesSouth AfricaItaly
In The Last Decade
M R Stroud
14 papers receiving 932 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 786
- Organic Chemistry 247
- Immunology 219
- Cell Biology 178
- Radiology, Nuclear Medicine and Imaging 158
Countries citing papers authored by M R Stroud
This map shows the geographic impact of M R Stroud'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 M R Stroud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M R Stroud more than expected).
Fields of papers citing papers by M R Stroud
This network shows the impact of papers produced by M R Stroud. 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 M R Stroud. The network helps show where M R Stroud may publish in the future.
Co-authorship network of co-authors of M R Stroud
This figure shows the co-authorship network connecting the top 25 collaborators of M R Stroud. A scholar is included among the top collaborators of M R Stroud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M R Stroud. M R Stroud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 7 | |
| 3 | 13 | |
| 4 | 77 | |
| 5 | 34 | |
| 6 | Specificity and immunobiological properties of monoclonal antibody IMH2, established after immunization with Le(b)/Le(a) glycosphingolipid, a novel extended type 1 chain antigen. | 15 |
| 7 | 138 | |
| 8 | In vitro and in vivo antitumor effects of murine monoclonal antibody NCC-ST-421 reacting with dimeric Le(a) (Le(a)/Le(a)) epitope. | 25 |
| 9 | 55 | |
| 10 | 92 | |
| 11 | Profiles of Lewisx-containing glycoproteins and glycolipids in sera of patients with adenocarcinoma. | 61 |
| 12 | 385 | |
| 13 | 26 | |
| 14 | 29 |
About M R Stroud
M R Stroud is a scholar working on Endocrinology, Immunology and Allergy and Immunology, having authored 14 papers that have together received 973 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Galectins and Cancer Biology (5 papers). The work is most often cited by research in Immunology and Allergy (76 citations), Molecular Biology (786 citations) and Cell Biology (178 citations). M R Stroud has collaborated with scholars based in United States, South Africa and Italy. Frequent co-authors include S Hakomori, Sen‐itiroh Hakomori, Barbara Dean, B A Fenderson, T. TOYOKUNI, Ivan Eggens, Hiroyuki Nojiri, Edward Nudelman, Henrik Clausen and Ann E. Stapleton. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and Biochemical and Biophysical Research Communications.
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.