Mark R. Morris

4.0k citations
57 papers · 2.6k indexed · h-index 31

Impact in

Papers in

Mark R. Morris

55 papers receiving 2.6k citations

Peers

Mark R. Morris
Comparison fields: 5 of 126
  • Cancer Research 697
  • Pulmonary and Respiratory Medicine 895
  • Molecular Biology 1.7k
  • Oncology 276
  • Genetics 80
Replace Yu Fujita with:
Yu Fujita Japan
Jill A. Macoska United States
Tracy Tabib United States
Ying Zhu China
Kyu Sang Song South Korea
Rulong Shen United States
Maya Kansara Australia
Gangwen Han United States
Li Peng China
Virginia Urquidi United States
Mark R. Morris relative to Yu Fujita Japan Yu Fujita's profile →
Citations per field
00.5×1.5×
Yu Fujita · 1×
Citations per year

Countries citing papers authored by Mark R. Morris

Since Specialization
Citations

This map shows the geographic impact of Mark R. Morris'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. Morris 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. Morris more than expected).

Fields of papers citing papers by Mark R. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202222
3 20229
4 20200
5 201693
6 201547
7 201334
8 201335
9 201393
10 201372
11 201046
12 201057
13 201047
14 2010166
15 200965
16 200822
17 200726
18 200617
19 200595
20 200456

About Mark R. Morris

Mark R. Morris is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Process Chemistry and Technology, having authored 57 papers that have together received 2.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (21 papers), Renal cell carcinoma treatment (11 papers), Cancer, Hypoxia, and Metabolism (11 papers), Renal and related cancers (10 papers), RNA modifications and cancer (8 papers), Cystic Fibrosis Research Advances (6 papers), Cancer-related gene regulation (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). The work is most often cited by research in Cancer Research (697 citations), Pulmonary and Respiratory Medicine (895 citations), Molecular Biology (1.7k citations), Oncology (276 citations) and Genetics (80 citations). Mark R. Morris has collaborated with scholars based in United Kingdom, Japan and France. Frequent co-authors include Farida Latif, Eamonn R. Maher, Dean Gentle, Christopher J. Ricketts, Dewi Astuti, Masahiro Yao, Takeshi Kishida, Emma R. Woodward, Noel W. Clarke and Maurice B. Hallett. Their work appears in journals such as Oncogene, Neuro-Oncology, The Journal of Pathology, American Journal of Medical Genetics Part C Seminars in Medical Genetics and Genes Chromosomes and 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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