Paras Malik
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
-
- Artificial Intelligence in Healthcare
Papers in
-
- Lung Cancer Diagnosis and Treatment 2
- Surgery 4
- Co-authors
- Fnu Amisha (7 shared papers)Monika Pathania (7 shared papers)Vyas Kumar Rathaur (4 shared papers)Frits van Rhee (1 shared paper)Sunny Singh (1 shared paper)Anand Iyer (2 shared papers)Seema Singh (1 shared paper)Robert Larbalestier (1 shared paper)
- Journals
- Blood (2 papers)Annals of Oncology (2 papers)CHEST Journal (1 paper)Journal of Clinical Medicine (1 paper)The Breast (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Paras Malik
21 papers receiving 654 citations
Paras Malik's Hit Papers
Peers
Comparison fields: 5 of 139
- Health Informatics 286
- Health Information Management 73
- Radiology, Nuclear Medicine and Imaging 216
- Family Practice 20
- General Dentistry 11
Countries citing papers authored by Paras Malik
This map shows the geographic impact of Paras Malik'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 Paras Malik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paras Malik more than expected).
Fields of papers citing papers by Paras Malik
This network shows the impact of papers produced by Paras Malik. 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 Paras Malik. The network helps show where Paras Malik may publish in the future.
Co-authors
The 25 scholars most cited alongside Paras Malik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Overview of artificial intelligence in medicine Hit paper breakdown → | 2019 | 618 |
| 2 | 2019 | 19 | |
| 3 | 2022 | 10 | |
| 4 | 2023 | 9 | |
| 5 | Poliomyelitis in vaccinated children. | 1989 | 8 |
| 6 | 2023 | 6 | |
| 7 | 2013 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2019 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2014 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2013 | 1 |
About Paras Malik
Paras Malik is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 24 papers that have together received 696 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (2 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Long-Term Effects of COVID-19 (1 paper), COVID-19 diagnosis using AI (1 paper), Alzheimer's disease research and treatments (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Health Informatics (286 citations), Health Information Management (73 citations), Radiology, Nuclear Medicine and Imaging (216 citations), Family Practice (20 citations) and General Dentistry (11 citations). Paras Malik has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Fnu Amisha, Monika Pathania, Vyas Kumar Rathaur, Frits van Rhee, Sunny Singh, Anand Iyer, Seema Singh, Robert Larbalestier, Deepak Sharma and Nitesh Gautam. Their work appears in journals such as Blood, Annals of Oncology, CHEST Journal, Journal of Clinical Medicine and The Breast.
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.