Neeraj Saini

302 total papers · 1.6k total citations
49 papers, 404 citations indexed

About

Neeraj Saini is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Neeraj Saini has authored 49 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hematology, 24 papers in Oncology and 14 papers in Molecular Biology. Recurrent topics in Neeraj Saini's work include Multiple Myeloma Research and Treatments (16 papers), Chronic Myeloid Leukemia Treatments (9 papers) and CAR-T cell therapy research (9 papers). Neeraj Saini is often cited by papers focused on Multiple Myeloma Research and Treatments (16 papers), Chronic Myeloid Leukemia Treatments (9 papers) and CAR-T cell therapy research (9 papers). Neeraj Saini collaborates with scholars based in United States, India and Israel. Neeraj Saini's co-authors include Partow Kebriaei, Anuj Mahindra, Elizabeth J. Shpall, Uri Greenbaum, Sairah Ahmed, Kris M. Mahadeo, Smita Jha, Qaiser Bashir, Muzaffar H. Qazilbash and Yago Nieto and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of Clinical Oncology.

In The Last Decade

Neeraj Saini

46 papers receiving 388 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Neeraj Saini 228 99 88 88 50 49 404
Hitoji Uchiyama 91 0.4× 129 1.3× 109 1.2× 104 1.2× 44 0.9× 58 427
Umut Dişel 149 0.7× 111 1.1× 156 1.8× 54 0.6× 80 1.6× 47 474
Chang‐Tsu Yuan 166 0.7× 39 0.4× 100 1.1× 137 1.6× 81 1.6× 53 419
Sumie Tabata 137 0.6× 101 1.0× 96 1.1× 141 1.6× 44 0.9× 49 447
Luís Villela 139 0.6× 153 1.5× 95 1.1× 108 1.2× 30 0.6× 31 384
Arushi Khurana 246 1.1× 59 0.6× 111 1.3× 173 2.0× 34 0.7× 79 478
Muhammad Husnain 224 1.0× 72 0.7× 87 1.0× 69 0.8× 101 2.0× 67 455
Martin S. Blumenreich 171 0.8× 45 0.5× 96 1.1× 54 0.6× 97 1.9× 24 446
Zeeshan Ali 130 0.6× 85 0.9× 84 1.0× 44 0.5× 49 1.0× 62 433
Ivo Radman 144 0.6× 92 0.9× 71 0.8× 154 1.8× 93 1.9× 44 415

Countries citing papers authored by Neeraj Saini

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Saini

This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Saini. A scholar is included among the top collaborators of Neeraj Saini 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 Neeraj Saini. Neeraj Saini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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