Niha Beig

31 papers and 1.6k indexed citations i.

About

Niha Beig is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Niha Beig has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 14 papers in Genetics. Recurrent topics in Niha Beig’s work include Radiomics and Machine Learning in Medical Imaging (29 papers), Glioma Diagnosis and Treatment (14 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Niha Beig is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), Glioma Diagnosis and Treatment (14 papers) and Lung Cancer Diagnosis and Treatment (9 papers). Niha Beig collaborates with scholars based in United States, Switzerland and China. Niha Beig's co-authors include Anant Madabhushi, Prateek Prasanna, Vamsidhar Velcheti, Rajat Thawani, Kaustav Bera, Pallavi Tiwari, Soumya Ghose, Michael J. McLane, Vinay Varadan and Virginia Hill and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Niha Beig i

Fields of papers citing papers by Niha Beig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Niha Beig

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025