Anilkumar Gopalakrishnapillai
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Hematology top 5%
- Co-authors
- Ayyappan K. RajasekaranSonali P. BarweJason J. ChristiansenSigrid A. RajasekaranE. Anders KolbNeil H. BanderAsoke BanerjiNinu Poulose
- Topics
- Acute Myeloid Leukemia Research (23 papers)CAR-T cell therapy research (11 papers)Metabolism, Diabetes, and Cancer (8 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Anilkumar Gopalakrishnapillai
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 747
- Pulmonary and Respiratory Medicine 294
- Oncology 256
- Radiology, Nuclear Medicine and Imaging 233
- Hematology 184
Countries citing papers authored by Anilkumar Gopalakrishnapillai
This map shows the geographic impact of Anilkumar Gopalakrishnapillai'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 Anilkumar Gopalakrishnapillai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anilkumar Gopalakrishnapillai more than expected).
Fields of papers citing papers by Anilkumar Gopalakrishnapillai
This network shows the impact of papers produced by Anilkumar Gopalakrishnapillai. 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 Anilkumar Gopalakrishnapillai. The network helps show where Anilkumar Gopalakrishnapillai may publish in the future.
Co-authorship network of co-authors of Anilkumar Gopalakrishnapillai
This figure shows the co-authorship network connecting the top 25 collaborators of Anilkumar Gopalakrishnapillai. A scholar is included among the top collaborators of Anilkumar Gopalakrishnapillai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anilkumar Gopalakrishnapillai. Anilkumar Gopalakrishnapillai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 54 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 17 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | 17 | |
| 18 | 13 | |
| 19 | 134 | |
| 20 | 15 |
About Anilkumar Gopalakrishnapillai
Anilkumar Gopalakrishnapillai is a scholar working on Hematology, Immunology and Allergy and Oncology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), CAR-T cell therapy research (11 papers) and Metabolism, Diabetes, and Cancer (8 papers). The work is most often cited by research in Hematology (184 citations), Biochemistry (89 citations) and Molecular Biology (747 citations). Anilkumar Gopalakrishnapillai has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Ayyappan K. Rajasekaran, Sonali P. Barwe, Jason J. Christiansen, Sigrid A. Rajasekaran, E. Anders Kolb, Neil H. Bander, Asoke Banerji, Ninu Poulose, James U. Bowie and He Liu. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications 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.