Jo Ballot

439 citations
10 papers · 307 · h-index 7

Impact in

Papers in

    • COVID-19 and healthcare impacts 1
    • Clusterin in disease pathology 1
    • Drug Transport and Resistance Mechanisms 1
    • Glycosylation and Glycoproteins Research 2
    • Metabolomics and Mass Spectrometry Studies 2
    • RNA Research and Splicing 1

Jo Ballot

9 papers receiving 299 citations

Peers

Jo Ballot
Comparison fields: 5 of 63
  • Cancer Research 57
  • Oncology 83
  • Spectroscopy 51
  • Molecular Biology 171
  • Endocrinology, Diabetes and Metabolism 26
Replace Saverio Mazza with:
Saverio Mazza Italy
Marcia K. Goodmanson United States
Masahiko Nezu Japan
Julia Benzel Germany
Sun Young Kwun Australia
Chung‐Ying Huang Taiwan
Beatriz Sánchez‐Espiridión United States
Suk-Young Yoo United States
Victor Oginga Oria Denmark
Zhefeng Xiao China
Jo Ballot relative to Saverio Mazza Italy Saverio Mazza's profile →
Citations per field
00.5×3.8×
Saverio Mazza · 1×
Citations per year

Countries citing papers authored by Jo Ballot

Since Specialization
Citations

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

Fields of papers citing papers by Jo Ballot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200979
2 200766
3 201160
4 201235
5 201427
6 201417
7 201417
8 20234
9 20142
10 20250

About Jo Ballot

Jo Ballot is a scholar working on Oncology, Molecular Biology, Spectroscopy, Cancer Research and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Glycosylation and Glycoproteins Research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), RNA Research and Splicing (1 paper), COVID-19 and healthcare impacts (1 paper), Clusterin in disease pathology (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Cancer Research (57 citations), Oncology (83 citations), Spectroscopy (51 citations), Molecular Biology (171 citations) and Endocrinology, Diabetes and Metabolism (26 citations). Jo Ballot has collaborated with scholars based in Ireland, United States and Italy. Frequent co-authors include John Crown, Martin Clynes, Paul Dowling, Lorraine O’Driscoll, M. Moriarty, Paula Meleady, Annemarie Larkin, Michael Henry, Giuseppe Gullo and Susan Kennedy. Their work appears in journals such as JCO Clinical Cancer Informatics, Metabolomics, BMC Urology, Oncogene and International Journal of 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.

Explore authors with similar magnitude of impact