T. Khanh

4.4k citations
57 papers · 2.5k indexed · h-index 26

Impact in

  • Oncology top 2%
    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
    • Carcinogens and Genotoxicity Assessment

Papers in

    • PARP inhibition in cancer therapy 11
    • Cancer-related Molecular Pathways 7
    • Cancer Genomics and Diagnostics 8

T. Khanh

54 papers receiving 2.5k citations

Peers

T. Khanh
Comparison fields: 5 of 104
  • Oncology 991
  • Cancer Research 473
  • Molecular Biology 1.6k
  • Radiology, Nuclear Medicine and Imaging 422
  • Pulmonary and Respiratory Medicine 462
Replace Giulio Francia with:
Giulio Francia United States
Sherry X. Yang United States
Jennifer M. Giltnane United States
Jennifer R. Diamond United States
Cornelia Quadt Switzerland
Ricardo M. Attar United States
Ben Markman Australia
Pieter J.A. Eichhorn Singapore
Nandini Dey United States
Carrie A. Adelman United States
T. Khanh relative to Giulio Francia United States Giulio Francia's profile →
Citations per field
00.5×
Giulio Francia · 1×
Citations per year

Countries citing papers authored by T. Khanh

Since Specialization
Citations

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

Fields of papers citing papers by T. Khanh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20244
4 20230
5 20231
6 202171
7 202137
8 202156
9 20216
10 202015
11 202083
12 201971
13 2019103
14 201728
15 2017136
16 20172
17 20166
18 2015255
19 20122
20 2008207

About T. Khanh

T. Khanh is a scholar working on Oncology, Cancer Research, Biotechnology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), PARP inhibition in cancer therapy (11 papers), Cancer Genomics and Diagnostics (8 papers), Cancer-related Molecular Pathways (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Advanced Breast Cancer Therapies (5 papers), Cancer Research and Treatments (5 papers) and Effects of Radiation Exposure (4 papers). The work is most often cited by research in Oncology (991 citations), Cancer Research (473 citations), Molecular Biology (1.6k citations), Radiology, Nuclear Medicine and Imaging (422 citations) and Pulmonary and Respiratory Medicine (462 citations). T. Khanh has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Shivaani Kummar, James H. Doroshow, Sally A. Amundson, Albert J. Fornace, Alice P. Chen, Paul S. Meltzer, Michael Bittner, Jeffrey M. Trent, Geoffrey I. Shapiro and Robert J. Kinders. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Journal of Clinical Oncology, Investigational New Drugs and Annals of 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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