Sugganth Daniel

855 citations
26 papers · 313 · h-index 7

Impact in

    • Colorectal Cancer Treatments and Studies
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

Sugganth Daniel

26 papers receiving 307 citations

Peers

Sugganth Daniel
Comparison fields: 5 of 49
  • Oncology 196
  • Cancer Research 70
  • Pathology and Forensic Medicine 67
  • Pulmonary and Respiratory Medicine 96
  • Biochemistry 17
Replace Débora S. Bruno with:
Débora S. Bruno United States
Gary Zeger United States
Fabrice Jardin France
Emile D. Kerver Netherlands
Kamal Haider Canada
Lydia Dreosti South Africa
Oscar Mang China
M. Martín Jiménez Spain
Çağlayan Geredeli Türkiye
T. Littlewood United Kingdom
Sugganth Daniel relative to Débora S. Bruno United States Débora S. Bruno's profile →
Citations per field
00.5×5.6×
Débora S. Bruno · 1×
Citations per year

Countries citing papers authored by Sugganth Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Sugganth Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018149
2 201236
3 201834
4 201718
5 201712
6 201710
7 20178
8 20176
9 20176
10 20185
11 20084
12 20183
13 20173
14 20183
15 20172
16 20182
17 20172
18 20182
19 20171
20 20181

About Sugganth Daniel

Sugganth Daniel is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Pathology and Forensic Medicine and Surgery, having authored 26 papers that have together received 313 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Colorectal Cancer Treatments and Studies (4 papers), Genetic factors in colorectal cancer (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Testicular diseases and treatments (3 papers), Lung Cancer Treatments and Mutations (3 papers), HER2/EGFR in Cancer Research (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Oncology (196 citations), Cancer Research (70 citations), Pathology and Forensic Medicine (67 citations), Pulmonary and Respiratory Medicine (96 citations) and Biochemistry (17 citations). Sugganth Daniel has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Laurie M. Gay, Jo‐Anne Vergilio, Jeffrey S. Ross, Shakti Ramkissoon, Julia A. Elvin, Alexa B. Schrock, James Suh, Siraj M. Ali, Eric A. Severson and Vincent A. Miller. Their work appears in journals such as Journal of Clinical Oncology, Cancer, American Journal of Clinical Pathology, Neuro-Oncology and The Oncologist.

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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