Robert Oldham

795 citations
15 papers · 423 · h-index 10

Impact in

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 3
    • Galectins and Cancer Biology 2
    • Immunodeficiency and Autoimmune Disorders 2
    • Monoclonal and Polyclonal Antibodies Research 10

Robert Oldham

13 papers receiving 409 citations

Peers

Robert Oldham
Comparison fields: 5 of 51
  • Physiology 57
  • Radiology, Nuclear Medicine and Imaging 223
  • Immunology 198
  • Genetics 66
  • Oncology 151
Replace Dorottya Kövesdi with:
Dorottya Kövesdi Hungary
GT Stevenson United Kingdom
Silvia Danielian Argentina
Lijie Xing China
Huaijian Guo Canada
Inbal Binsky Israel
Nurit Harpaz Israel
Zhili Song United States
Rens Braster Netherlands
Geoffrey Catalano United States
Robert Oldham relative to Dorottya Kövesdi Hungary Dorottya Kövesdi's profile →
Citations per field
00.5×3.9×
Dorottya Kövesdi · 1×
Citations per year

Countries citing papers authored by Robert Oldham

Since Specialization
Citations

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

Fields of papers citing papers by Robert Oldham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Oldham, 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 Robert Oldham Line = papers co-authored together Robert Oldham links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2020149
2 201582
3 201567
4 201438
5 202117
6 202216
7 201814
8 202012
9 201611
10 20149
11 20186
12 20241
13 20251
14 20240
15 20250

About Robert Oldham

Robert Oldham is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Oncology, having authored 15 papers that have together received 423 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (7 papers), T-cell and B-cell Immunology (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immune Cell Function and Interaction (3 papers), Galectins and Cancer Biology (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Physiology (57 citations), Radiology, Nuclear Medicine and Imaging (223 citations), Immunology (198 citations), Genetics (66 citations) and Oncology (151 citations). Robert Oldham has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Mark S. Cragg, Stephen A. Beers, C. Ian Mockridge, Kerry L. Cox, Ruth R. French, Ali Roghanian, Matthew Carter, Lekh N. Dahal, Patrick J. Duriez and Thomas Tipton. Their work appears in journals such as The Journal of Immunology, Blood, Journal of Clinical Oncology, Clinical Cancer Research and Cells.

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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