Ankit Patel

420 citations
26 papers · 285 · h-index 11

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

Ankit Patel

25 papers receiving 283 citations

Peers

Ankit Patel
Comparison fields: 5 of 58
  • Cancer Research 72
  • Oncology 85
  • Hepatology 24
  • Pulmonary and Respiratory Medicine 79
  • Immunology 51
Replace Yueyun Chen with:
Yueyun Chen China
Lee Gorden United States
Elif Bilgin Türkiye
Chan Xiang China
Anna Berand Germany
Yang Ou China
Brian Rini United States
Jamil Asselah Canada
Jennifer Bordenave France
Mariam Rodrı́guez-Lee United States
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Citations per field
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Citations per year

Countries citing papers authored by Ankit Patel

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ankit Patel, 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 Ankit Patel Line = papers co-authored together Ankit Patel 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
G2M checkpoint pathway alone is associated with drug response and survival among cell proliferation-related pathways in pancreatic cancer.
202145
2 201237
3 202025
4 202221
5 202120
6 202219
7 201417
8 202113
9 201513
10 200812
11 202110
12 202210
13
Low expression of miR-195 is associated with cell proliferation, glycolysis and poor survival in estrogen receptor (ER)-positive but not in triple negative breast cancer.
20218
14 20118
15 20236
16 20124
17 20134
18 20214
19 20222
20 20192

About Ankit Patel

Ankit Patel is a scholar working on Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Genetics, having authored 26 papers that have together received 285 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Cancer Genomics and Diagnostics (3 papers), Genetic factors in colorectal cancer (2 papers), Cancer Cells and Metastasis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Cancer Research (72 citations), Oncology (85 citations), Hepatology (24 citations), Pulmonary and Respiratory Medicine (79 citations) and Immunology (51 citations). Ankit Patel has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Masanori Oshi, Li Yan, Kazuaki Takabe, Yoshihisa Tokumaru, Itaru Endo, Ryusei Matsuyama, Lan Le, Rongrong Wu, Takashi Ishikawa and J. Paul Mounsey. Their work appears in journals such as Cancers, Gastroenterology, Clinical Cancer Research, Journal of Pain and Journal of Cardiac Failure.

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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