Martina Boshell

892 citations
9 papers · 772 · h-index 7

Impact in

Papers in

    • T-cell and B-cell Immunology 4
    • Galectins and Cancer Biology 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 3
    • Glycosylation and Glycoproteins Research 4
    • Wnt/β-catenin signaling in development and cancer 1

Martina Boshell

9 papers receiving 754 citations

Peers

Martina Boshell
Comparison fields: 5 of 65
  • Immunology 284
  • Radiology, Nuclear Medicine and Imaging 264
  • Molecular Biology 543
  • Oncology 201
  • Cell Biology 96
Replace Valery Kudryashov with:
Valery Kudryashov United States
Fumiaki Nakayama Japan
R. L. Ceriani United States
H. Jacques Garrigues United States
I R Kirsch United States
Joseph Z. Zaretsky Israel
Shunji Ogata Japan
P O Livingston United States
Paul A. Singer United States
Ph. Hageman Netherlands
Martina Boshell relative to Valery Kudryashov United States Valery Kudryashov's profile →
Citations per field
00.5×1.5×1.8×
Valery Kudryashov · 1×
Citations per year

Countries citing papers authored by Martina Boshell

Since Specialization
Citations

This map shows the geographic impact of Martina Boshell'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 Martina Boshell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Boshell more than expected).

Fields of papers citing papers by Martina Boshell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martina Boshell. 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 Martina Boshell. The network helps show where Martina Boshell may publish in the future.

Co-authors

The 25 scholars most cited alongside Martina Boshell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martina Boshell Line = papers co-authored together Martina Boshell links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1989208
2 1989202
3 1991172
4 199278
5 199150
6
B7/CD28 but not LFA-3/CD2 interactions can provide 'third-party' co-stimulation for human T-cell activation.
199333
7 199620
8 19945
9 19954

About Martina Boshell

Martina Boshell is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Urology, having authored 9 papers that have together received 772 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), T-cell and B-cell Immunology (4 papers), Galectins and Cancer Biology (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Hair Growth and Disorders (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Immunology (284 citations), Radiology, Nuclear Medicine and Imaging (264 citations), Molecular Biology (543 citations), Oncology (201 citations) and Cell Biology (96 citations). Martina Boshell has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Joyce Taylor‐Papadimitriou, Sandra Gendler, Joy Burchell, Trevor Duhig, El–Nasir Lalani, Lucy F. Pemberton, Irene M. Leigh, Martha R. Stampfer, James Barter and E. Birgitte Lane. Their work appears in journals such as Cellular Immunology, Immunology, Journal of Biological Chemistry, Journal of Cell Science and International Journal of Cancer.

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.

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