Stephen Johnston

997 citations
14 papers · 843 · h-index 8

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology

Papers in

    • Cancer Treatment and Pharmacology 6
    • HER2/EGFR in Cancer Research 2
    • Estrogen and related hormone effects 3

Stephen Johnston

14 papers receiving 813 citations

Peers

Stephen Johnston
Comparison fields: 5 of 66
  • Cancer Research 297
  • Oncology 363
  • Pulmonary and Respiratory Medicine 203
  • Drug Discovery 1
  • Molecular Biology 326
Replace Jorge Daniel. Gallo with:
Jorge Daniel. Gallo United States
Rebecca Jean Watters United States
Jean‐Christophe Théry France
JFR Robertson United Kingdom
S. Loibl Germany
Andrea Milani Italy
Jiao Yang China
Loredana Militello Italy
Ning Liao China
Kelly Mousa United Kingdom
Stephen Johnston relative to Jorge Daniel. Gallo United States Jorge Daniel. Gallo's profile →
Citations per field
00.5×1.5×2×2.4×
Jorge Daniel. Gallo · 1×
Citations per year

Countries citing papers authored by Stephen Johnston

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2005411
2 1995161
3 2017138
4 200436
5 199827
6 200723
7 201011
8 20109
9 20108
10 20026
11 20065
12 20174
13 20223
14 20231

About Stephen Johnston

Stephen Johnston is a scholar working on Oncology, Genetics, Family Practice, Geriatrics and Gerontology and Dermatology, having authored 14 papers that have together received 843 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (6 papers), Estrogen and related hormone effects (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), HER2/EGFR in Cancer Research (2 papers), Advanced Breast Cancer Therapies (2 papers), Medication Adherence and Compliance (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Cancer Research (297 citations), Oncology (363 citations), Pulmonary and Respiratory Medicine (203 citations), Drug Discovery (1 citation) and Molecular Biology (326 citations). Stephen Johnston has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Dirk M. Behringer, Valerijus Ostapenko, H. J. Illiger, Maria Cincotta, Nathalie Bardy‐Bouxin, Fátima Cardoso, Marc Oliver Salzberg, Laurence Moore, Joseph P Boni and Christian Dittrich. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, British Journal of Cancer, The Breast and Clinical Breast 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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