C. MacGeoch

1.3k citations
17 papers · 1.1k · h-index 16

Impact in

Papers in

C. MacGeoch

17 papers receiving 1.1k citations

Peers

C. MacGeoch
Comparison fields: 5 of 77
  • Pharmacology 373
  • Endocrinology, Diabetes and Metabolism 289
  • Oncology 404
  • Cancer Research 160
  • Hematology 107
Replace Jaideep V. Thottassery with:
Jaideep V. Thottassery United States
Kevin F. Dyer United States
K Dohi Japan
Roderick T. Bunch United States
Paul Dent United States
Yongdong Niu China
Saswati Hazra United States
Sucha Singh United States
Wm. Kevin Kelly United States
Silke Marhenke Germany
C. MacGeoch relative to Jaideep V. Thottassery United States Jaideep V. Thottassery's profile →
Citations per field
00.5×3.0×
Jaideep V. Thottassery · 1×
Citations per year

Countries citing papers authored by C. MacGeoch

Since Specialization
Citations

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

Fields of papers citing papers by C. MacGeoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1985238
2 1992170
3 1992107
4 198495
5 198584
6 198568
7 199467
8 199456
9 199453
10 199345
11 199532
12 199126
13 198724
14
Some oral carcinomas from Sri Lankan betel/tobacco chewers overexpress p53 oncoprotein but lack mutations in exons 5-9.
199423
15 199222
16 199515
17 19933

About C. MacGeoch

C. MacGeoch is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Pharmacology and Biotechnology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), RNA modifications and cancer (4 papers), Hormonal Regulation and Hypertension (4 papers), Cancer Research and Treatments (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Hormonal and reproductive studies (3 papers), Blood groups and transfusion (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Pharmacology (373 citations), Endocrinology, Diabetes and Metabolism (289 citations), Oncology (404 citations), Cancer Research (160 citations) and Hematology (107 citations). C. MacGeoch has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Edward T. Morgan, Jan-Ακε Gustafsson, Nigel K. Spurr, James R. Halpert, Jan‐Åke Gustafsson, Shehla Mohammed, Neil D. Avent, Minna Tanner, K. Ridgwell and D M Barnes. Their work appears in journals such as Journal of Biological Chemistry, British Journal of Cancer, Journal of Cellular Biochemistry, Endocrinology and Human Molecular Genetics.

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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