Dana T. Aftab

3.6k citations
45 papers · 1.8k indexed · h-index 20
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research 10
    • Cancer Cells and Metastasis 4
    • Cancer Genomics and Diagnostics 5
  • Hepatology top 5%
    • Liver physiology and pathology 4
    • Prostate Cancer Treatment and Research 9
    • Renal cell carcinoma treatment 6
    • Lung Cancer Treatments and Mutations 4
  • Genetics top 5%
    • Glioma Diagnosis and Treatment 5

Dana T. Aftab

44 papers receiving 1.8k citations

Peers

Dana T. Aftab
Comparison fields: 5 of 92
  • Oncology 882
  • Cancer Research 417
  • Hepatology 202
  • Pulmonary and Respiratory Medicine 574
  • Genetics 179
Replace Reinhard von Roemeling with:
Reinhard von Roemeling United States
Heike Richly Germany
Vincenzo Damiano Italy
Stephen Leong United States
Frauke Bentzien United States
Fawn Qian United States
G. Deplanque France
Raymond M. Shaheen United States
Yongchang Shi United States
Rosa Caputo Italy
Dana T. Aftab relative to Reinhard von Roemeling United States Reinhard von Roemeling's profile →
Citations per field
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Reinhard von Roemeling · 1×
Citations per year

Countries citing papers authored by Dana T. Aftab

Since Specialization
Citations

This map shows the geographic impact of Dana T. Aftab'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 Dana T. Aftab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana T. Aftab more than expected).

Fields of papers citing papers by Dana T. Aftab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana T. Aftab. 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 Dana T. Aftab. The network helps show where Dana T. Aftab may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20235
4 202112
5 20191
6 201818
7 201629
8 201655
9 201670
10 201566
11 2014154
12 201379
13 2012325
14 2011196
15 201136
16 201117
17 2011133
18 199268
19 199127
20 199014

About Dana T. Aftab

Dana T. Aftab is a scholar working on Oncology, Hepatology and Cancer Research, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Prostate Cancer Treatment and Research (9 papers), Renal cell carcinoma treatment (6 papers), Glioma Diagnosis and Treatment (5 papers), Cancer Genomics and Diagnostics (5 papers), Liver physiology and pathology (4 papers), Cancer Cells and Metastasis (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Oncology (882 citations), Cancer Research (417 citations) and Hepatology (202 citations). Dana T. Aftab has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Donald M. McDonald, Barbara Sennino, Weon‐Kyoo You, Casey W. Williamson, William N. Hait, Renee N. Donahue, Andressa Ardiani, James W. Hodge, Anna Kwilas and Sébastien P. Tabruyn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

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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