G. Daniel Grass

77 papers receiving 1.5k citations

Peers

G. Daniel Grass
Comparison fields: 5 of 88
  • Oncology 400
  • Cancer Research 206
  • Immunology 241
  • Otorhinolaryngology 47
  • Cell Biology 168
Replace Tim H. Brümmendorf with:
Tim H. Brümmendorf Germany
Seija Grénman Finland
Gerwin Heller Austria
Toshi Menju Japan
Élodie Vauléon France
Selim Nasser Lebanon
Elizabeth Comen United States
Takushi Monden Japan
Juan Martín-Liberal Spain
Alex H. Mirnezami United Kingdom
G. Daniel Grass relative to Tim H. Brümmendorf Germany Tim H. Brümmendorf's profile →
Citations per field
00.5×2×3.4×
Tim H. Brümmendorf · 1×
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 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012151
2 2015135
3 2015133
4 2009126
5 2009103
6 201391
7 201676
8 201469
9 201852
10 201450
11 201743
12 201243
13 201940
14 202037
15 202334
16 201232
17 202127
18 202223
19 202121
20 202316

About G. Daniel Grass

G. Daniel Grass is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (15 papers), Cancer Immunotherapy and Biomarkers (15 papers), Cancer Genomics and Diagnostics (10 papers), Genital Health and Disease (9 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Lung Cancer Treatments and Mutations (6 papers), Prostate Cancer Treatment and Research (5 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Oncology (400 citations), Cancer Research (206 citations), Immunology (241 citations), Otorhinolaryngology (47 citations) and Cell Biology (168 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, Urologic Oncology Seminars and Original Investigations and Clinical and Translational 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.

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