John Sinclair

1.8k citations
24 papers · 1k · h-index 17

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Melanoma and MAPK Pathways
    • Protein Kinase Regulation and GTPase Signaling
    • Bioinformatics and Genomic Networks
    • Fungal and yeast genetics research

Papers in

John Sinclair

23 papers receiving 1k citations

Peers

John Sinclair
Comparison fields: 5 of 86
  • Spectroscopy 253
  • Molecular Biology 425
  • Cancer Research 78
  • Oncology 123
  • Reproductive Medicine 51
Replace Mai Sun with:
Mai Sun United States
Marjo de Graauw Netherlands
Paweł Ostasiewicz Poland
Patrick J. Halvey United States
Xavier Bisteau Belgium
Rong Hu China
Yixuan Yang China
Jiwei Chen China
C. V. de Moura Gallo Brazil
Jakub Karczmarski Poland
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Citations per field
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Citations per year

Countries citing papers authored by John Sinclair

Since Specialization
Citations

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

Fields of papers citing papers by John Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012296
2 201471
3 201168
4 200664
5 201158
6 200956
7 201450
8 201047
9 201445
10 201637
11 201235
12 201532
13 201431
14 201128
15 201425
16 200522
17 201420
18 201214
19 200613
20 20126

About John Sinclair

John Sinclair is a scholar working on Reproductive Medicine, Spectroscopy, Molecular Biology, Oncology and Immunology and Allergy, having authored 24 papers that have together received 1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Ovarian cancer diagnosis and treatment (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Cancer Cells and Metastasis (2 papers), Ovarian function and disorders (2 papers), Redox biology and oxidative stress (2 papers), AI in cancer detection (1 paper) and Electromagnetic Fields and Biological Effects (1 paper). The work is most often cited by research in Spectroscopy (253 citations), Molecular Biology (425 citations), Cancer Research (78 citations), Oncology (123 citations) and Reproductive Medicine (51 citations). John Sinclair has collaborated with scholars based in United Kingdom, Denmark and Canada. Frequent co-authors include John F. Timms, Claus Jørgensen, Jonathan D. Worboys, Samra Turajlic, Martin Eric Gore, Richard Marais, James Larkin, Alfonso Zambon, Dan Niculescu‐Duvaz and Amaya Virós. Their work appears in journals such as PROTEOMICS, Science Signaling, Nature Methods, British Journal of Cancer and Cancer Discovery.

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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