M. J. Uprichard

728 citations
18 papers · 597 indexed · h-index 8
Topics
Peptidase Inhibition and Analysis (13 papers)Protein Degradation and Inhibitors (5 papers)Neuroendocrine Tumor Research Advances (4 papers)
Partner nations
United States

In The Last Decade

M. J. Uprichard

18 papers receiving 584 citations

Peers

M. J. Uprichard
Comparison fields: 5 of 45
  • Oncology 421
  • Genetics 323
  • Molecular Biology 292
  • Cancer Research 94
  • Biotechnology 88
Replace Gilliane Chadeuf with:
Gilliane Chadeuf France
Jenneke J. Kloezeman Netherlands
Dahlia M. Besmer United States
Merja Särkioja Finland
Steven C. L. Ho Singapore
Ron Rodriguez United States
Helga Petznek Austria
Hirohumi Hamada Japan
Jianfang Ning United States
Kathy Gratton Canada
M. J. Uprichard relative to Gilliane Chadeuf France Gilliane Chadeuf's profile →
Citations per field
00.5×1.5×2.5×
Gilliane Chadeuf · 1×
Citations per year

Countries citing papers authored by M. J. Uprichard

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Uprichard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Uprichard. 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. J. Uprichard. The network helps show where M. J. Uprichard may publish in the future.

Co-authorship network of co-authors of M. J. Uprichard

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Uprichard. A scholar is included among the top collaborators of M. J. Uprichard 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. J. Uprichard. M. J. Uprichard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 75
2 70
3 18
4 4
5 26
6 8
7 1
8 8
9 6
10 1
11 7
12 2
13 1
14 1
15 7
16 5
17 106
18
Hepatic arterial infusion of a replication-selective oncolytic adenovirus (dl1520): phase II viral, immunologic, and clinical endpoints.
251

About M. J. Uprichard

M. J. Uprichard is a scholar working on Oncology, Genetics and Epidemiology, having authored 18 papers that have together received 597 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (13 papers), Protein Degradation and Inhibitors (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). The work is most often cited by research in Oncology (421 citations), Genetics (323 citations) and Biotechnology (88 citations). M. J. Uprichard has collaborated with scholars based in United States. Frequent co-authors include Barry Jones, E. Galanis, David H. Kirn, Carla Heise, James Andrews, James L. Abbruzzese, John Nemunaitis, Joseph Rubin, Lawrence M. Wein and M. Jason Hatfield. Their work appears in journals such as Journal of Clinical Oncology, Blood and BMC 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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