Agrima Mian

32 papers and 214 indexed citations i.

About

Agrima Mian is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Agrima Mian has authored 32 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 6 papers in Pathology and Forensic Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Agrima Mian’s work include CAR-T cell therapy research (17 papers), Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Agrima Mian is often cited by papers focused on CAR-T cell therapy research (17 papers), Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Agrima Mian collaborates with scholars based in United States, India and Canada. Agrima Mian's co-authors include Brian T. Hill, Achintya D. Singh, Sarah Nagle, Max J. Gordon, Brad Pohlman, Lindsey Fitzgerald, Adam S. Kittai, Alexey V. Danilov, Deborah M. Stephens and Nathan Denlinger and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Agrima Mian i

Fields of papers citing papers by Agrima Mian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Agrima Mian

Since Specialization
Citations

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

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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2025