Balaji Ganeshan

8.9k citations
115 papers · 7.2k indexed · 2 hit papers · h-index 41
Topics
Radiomics and Machine Learning in Medical Imaging (77 papers)MRI in cancer diagnosis (28 papers)Colorectal Cancer Screening and Detection (14 papers)
Journals
The LancetSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Balaji Ganeshan

113 papers receiving 7.1k citations

Hit Papers

Assessment of tumor heterogeneity: an emerging imaging to...201120262016202120122011200400600

Peers

Balaji Ganeshan
Comparison fields: 5 of 121
  • Radiology, Nuclear Medicine and Imaging 6.0k
  • Pulmonary and Respiratory Medicine 2.5k
  • Oncology 1.8k
  • Biomedical Engineering 1.3k
  • Surgery 956
Replace Changhong Liang with:
Changhong Liang China
X. Allen Li United States
Ruud G.P.M. van Stiphout Netherlands
Patrick V. Granton Netherlands
Emmanuel Rios Velazquez United States
Janita E. van Timmeren Netherlands
Joost J. M. van Griethuysen Netherlands
Luca Cozzi Italy
Dirk Verellen Belgium
Ruben T. H. M. Larue Netherlands
Balaji Ganeshan relative to Changhong Liang China Changhong Liang's profile →
Citations per field
00.5×3.0×
Changhong Liang · 1×
Citations per year

Countries citing papers authored by Balaji Ganeshan

Since Specialization
Citations

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

Fields of papers citing papers by Balaji Ganeshan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balaji Ganeshan

This figure shows the co-authorship network connecting the top 25 collaborators of Balaji Ganeshan. A scholar is included among the top collaborators of Balaji Ganeshan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Balaji Ganeshan. Balaji Ganeshan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 23
6 14
7 30
8 12
9 40
10 73
11 58
12 17
13 157
14 63
15 167
16 173
17 373
18 357
19 265
20 108

About Balaji Ganeshan

Balaji Ganeshan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research, having authored 115 papers that have together received 7.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (77 papers), MRI in cancer diagnosis (28 papers) and Colorectal Cancer Screening and Detection (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (6.0k citations), Hepatology (673 citations) and Pulmonary and Respiratory Medicine (2.5k citations). Balaji Ganeshan has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Kenneth A. Miles, Vicky Goh, Rupert Young, Robert Kozarski, Chris Chatwin, Karoline Skogen, Christopher R. Chatwin, Connie Yip, Michael P. Hayball and Ashley M. Groves. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

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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