Antonious Hazim

480 citations
29 papers · 268 · h-index 8

Impact in

Papers in

Antonious Hazim

19 papers receiving 264 citations

Peers

Antonious Hazim
Comparison fields: 5 of 59
  • Microbiology 7
  • Cancer Research 74
  • Biochemistry 25
  • Epidemiology 81
  • Pathology and Forensic Medicine 39
Replace Liqing Lu with:
Liqing Lu China
Lingling Li China
Silvia Langheim Italy
X. Hu United States
Kelsey Klute United States
Maxime Chénard-Poirier United Kingdom
M Usami Japan
Hidemi Dodo Japan
Chao-Sheng Liao Taiwan
Dianne Hillyard United Kingdom
Antonious Hazim relative to Liqing Lu China Liqing Lu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Antonious Hazim

Since Specialization
Citations

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

Fields of papers citing papers by Antonious Hazim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013134
2 202125
3 202025
4 201818
5 202110
6 20249
7 20188
8 20208
9 20217
10 20217
11 20216
12 20213
13 20222
14 20251
15 20231
16 20231
17 20201
18 20251
19 20211
20 20240

About Antonious Hazim

Antonious Hazim is a scholar working on Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 268 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Research Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Histiocytic Disorders and Treatments (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Genomics and Diagnostics (2 papers) and Tumors and Oncological Cases (2 papers). The work is most often cited by research in Microbiology (7 citations), Cancer Research (74 citations), Biochemistry (25 citations), Epidemiology (81 citations) and Pathology and Forensic Medicine (39 citations). Antonious Hazim has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Marion Peyressatre, Laura Beretta, Do Young Kim, Kyle Muir, Ying He, Xiaoling Song, Vinay Prasad, Gordon Ruan, Aishwarya Ravindran and Anne Turnbull. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Cancer Immunology Immunotherapy, American Journal of Hematology and Journal of Thoracic 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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