G Field

643 citations
12 papers · 548 · h-index 7

Impact in

Papers in

    • Advanced Radiotherapy Techniques 9
    • Medical Imaging Techniques and Applications 4
    • Radiation Dose and Imaging 2
    • Advances in Oncology and Radiotherapy 1
    • Radiomics and Machine Learning in Medical Imaging 1

G Field

12 papers receiving 527 citations

Peers

G Field
Comparison fields: 5 of 82
  • Otorhinolaryngology 105
  • Radiation 132
  • Animal Science and Zoology 87
  • Agronomy and Crop Science 61
  • Radiology, Nuclear Medicine and Imaging 80
Replace Weiqiang Huang with:
Weiqiang Huang China
Ridha Ben Younes Tunisia
Kazue Ito Japan
Abdullah Başoğlu Türkiye
H. de Groot Netherlands
Edislane Barreiros de Souza Brazil
Rafael Vessecchi Amorim Zafalon Brazil
Céline Barilly France
Daniel Berkowitz United States
G Field relative to Weiqiang Huang China Weiqiang Huang's profile →
Citations per field
00.5×10×20×26.7×
Weiqiang Huang · 1×
Citations per year

Countries citing papers authored by G Field

Since Specialization
Citations

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

Fields of papers citing papers by G Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2002255
2 2004156
3 200536
4 201131
5 199824
6 200218
7 200015
8 20035
9 20064
10 20062
11 20001
12 19921

About G Field

G Field is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Food Science, having authored 12 papers that have together received 548 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (9 papers), Radiation Therapy and Dosimetry (4 papers), Medical Imaging Techniques and Applications (4 papers), Head and Neck Cancer Studies (3 papers), Radiation Dose and Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Advances in Oncology and Radiotherapy (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Otorhinolaryngology (105 citations), Radiation (132 citations), Animal Science and Zoology (87 citations), Agronomy and Crop Science (61 citations) and Radiology, Nuclear Medicine and Imaging (80 citations). G Field has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Matthew Parliament, Rufus Scrimger, John Hanson, Elizabeth Kurien, B. G. Fallone, Jan-Åke Persson, Nancy Thiex, Shirley Anderson, J. Møller and Liv Lundberg. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Medical dosimetry, Journal of AOAC International and Radiotherapy and 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.

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