Mark R. Openshaw

551 citations
30 papers · 370 · h-index 11

Impact in

Papers in

    • Cancer Cells and Metastasis 3
    • Cancer Treatment and Pharmacology 2
    • Cancer Genomics and Diagnostics 9

Mark R. Openshaw

25 papers receiving 364 citations

Peers

Mark R. Openshaw
Comparison fields: 5 of 59
  • Cancer Research 84
  • Hepatology 31
  • Oncology 59
  • Pathology and Forensic Medicine 31
  • Plant Science 72
Replace Delphine Rapoud with:
Delphine Rapoud France
O Opitz Germany
Wendy Wood United Kingdom
Varsha Shridhar United States
Ningning Yang China
XU Chun-hua China
Sohela Shah United States
Muhammad Usman Rashid Pakistan
Miguel Inácio da Silva Filho Germany
RHM Verheijen Netherlands
Mark R. Openshaw relative to Delphine Rapoud France Delphine Rapoud's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark R. Openshaw

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Openshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark R. Openshaw. 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 Mark R. Openshaw. The network helps show where Mark R. Openshaw may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200377
2 202338
3 202036
4 202034
5 201025
6 202124
7 201524
8 201620
9 200813
10 202312
11 202211
12 20179
13 20158
14 20117
15 20206
16 20226
17 20235
18 20233
19 20183
20 20193

About Mark R. Openshaw

Mark R. Openshaw is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Surgery, having authored 30 papers that have together received 370 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Genetic factors in colorectal cancer (4 papers), Cancer Cells and Metastasis (3 papers), Gestational Trophoblastic Disease Studies (3 papers), Prenatal Screening and Diagnostics (3 papers), Cancer Treatment and Pharmacology (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Cancer Research (84 citations), Hepatology (31 citations), Oncology (59 citations), Pathology and Forensic Medicine (31 citations) and Plant Science (72 citations). Mark R. Openshaw has collaborated with scholars based in United Kingdom, Italy and Belgium. Frequent co-authors include Jacqui Shaw, Heather Knight, David W. Galbraith, David S. Guttery, Marc R. Knight, Michael K. Deyholos, Gareth Warren, Karen Page, Daniel Fernández-García and David J. Pinato. Their work appears in journals such as European Journal of Surgical Oncology, Expert Review of Molecular Diagnostics, npj Genomic Medicine, The Plant Journal and Clinical Genitourinary 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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