Neha Akkad

2 papers and 248 indexed citations i.

About

Neha Akkad is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Neha Akkad has authored 2 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 1 paper in Immunology and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Neha Akkad’s work include Cancer Immunotherapy and Biomarkers (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Neha Akkad is often cited by papers focused on Cancer Immunotherapy and Biomarkers (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Neha Akkad collaborates with scholars based in United States and United Kingdom. Neha Akkad's co-authors include Cristina Hajdu, Michael L. Dustin, Daniel Tippens, Dafna Bar‐Sagi, Alejandro Torres-Hernandez, Donnele Daley, Jung-Eun Jang, Venu G. Pillarisetty, Mautin Hundeyin and Antonina Avanzi and has published in prestigious journals such as Cell and Neuro-Oncology.

In The Last Decade

Co-authorship network of co-authors of Neha Akkad i

Fields of papers citing papers by Neha Akkad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neha Akkad

Since Specialization
Citations

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