G. Daniel Grass

2.3k citations
78 papers · 1.5k · h-index 19

Impact in

Papers in

G. Daniel Grass

75 papers receiving 1.5k citations

Peers

G. Daniel Grass
Comparison fields: 5 of 92
  • Oncology 493
  • Cancer Research 241
  • Otorhinolaryngology 61
  • Immunology 282
  • Pulmonary and Respiratory Medicine 348
Replace Xianshu Gao with:
Xianshu Gao China
Hong Ge China
Toshi Menju Japan
Seija Grénman Finland
Elizabeth Comen United States
Nicholas W. Choong United States
Jinming Yu China
Élodie Vauléon France
Ramona F. Swaby United States
Yuji Seo Japan
G. Daniel Grass relative to Xianshu Gao China Xianshu Gao's profile →
Citations per field
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Citations per year

Countries citing papers authored by G. Daniel Grass

Since Specialization
Citations

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

Fields of papers citing papers by G. Daniel Grass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012146
2 2015132
3 2015131
4 2009121
5 2009100
6 201390
7 201675
8 201468
9 201852
10 201446
11 201243
12 201742
13 201939
14 202035
15 201231
16 202327
17 202126
18 202221
19 202120
20 202315

About G. Daniel Grass

G. Daniel Grass is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), Bladder and Urothelial Cancer Treatments (14 papers), Cancer Genomics and Diagnostics (10 papers), Genital Health and Disease (9 papers), Urinary and Genital Oncology Studies (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Lung Cancer Treatments and Mutations (7 papers). The work is most often cited by research in Oncology (493 citations), Cancer Research (241 citations), Otorhinolaryngology (61 citations), Immunology (282 citations) and Pulmonary and Respiratory Medicine (348 citations). G. Daniel Grass has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Bryan P. Toole, Sungjune Kim, Lauren B. Tolliver, Momka Bratoeva, Mark G. Slomiany, Kelley M. Argraves, Brent A. Wilkerson, W. Scott Argraves, Kamran A. Ahmed and Bernard L. Maria. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Journal of Thoracic Oncology, Bioinformatics and Cancers.

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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