James Good

718 citations
13 papers · 155 · h-index 6

Impact in

    • Cancer-related Molecular Pathways
    • PARP inhibition in cancer therapy
    • CAR-T cell therapy research
    • Pancreatic and Hepatic Oncology Research
    • COVID-19 and healthcare impacts

Papers in

James Good

11 papers receiving 154 citations

Peers

James Good
Comparison fields: 5 of 43
  • Oncology 91
  • Otorhinolaryngology 9
  • Cancer Research 24
  • Molecular Biology 72
  • Immunology 20
Replace Ariana Rostami with:
Ariana Rostami Canada
Hao-Jiong Zhang China
Emily MacDuffie United States
Constanze Schneider Germany
Dan McDonald United States
Min Cui United States
Adam Krejčí Czechia
Christian Cao Canada
Janet S. Graham United Kingdom
Sandra Kluth Germany
James Good relative to Ariana Rostami Canada Ariana Rostami's profile →
Citations per field
00.5×
Ariana Rostami · 1×
Citations per year

Countries citing papers authored by James Good

Since Specialization
Citations

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

Fields of papers citing papers by James Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201244
2 202026
3 200524
4 202018
5 202017
6 201813
7 20243
8 20233
9 20213
10 20122
11 20232
12 20210
13 20070

About James Good

James Good is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiation, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 155 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Medical Imaging Techniques and Applications (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Oncology (91 citations), Otorhinolaryngology (9 citations), Cancer Research (24 citations), Molecular Biology (72 citations) and Immunology (20 citations). James Good has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Kevin J. Harrington, Michelle D. Garrett, Shane Zaidi, Ned Powell, Marcel Verheij, Hisham Mehanna, Gerben R. Borst, Pascal Meier, Aadil Khan and Joan Kyula. Their work appears in journals such as BMJ Open, International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, British Journal of Cancer and Radiation Oncology.

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