Nirav Malani

50 papers receiving 5.2k citations

Nirav Malani's Hit Papers

Feasibility of blood testing combined with PET-CT to screen for cancer and guide intervention 2020 · 511 citations
5110+2+4Years since publication100200300400500

Peers

Nirav Malani
Comparison fields: 5 of 119
  • Virology 1.2k
  • Genetics 1.9k
  • Infectious Diseases 892
  • Molecular Biology 3.2k
  • Oncology 896
Replace Christopher L. Nobles with:
Christopher L. Nobles United States
William M. Rehrauer United States
Jacob Giehm Mikkelsen Denmark
Jiing‐Kuan Yee United States
Stephen R. Yant United States
Wolfgang Resch United States
Boro Dropulić United States
Toni Cathomen Germany
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Citations per field
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Citations per year

Countries citing papers authored by Nirav Malani

Since Specialization
Citations

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

Fields of papers citing papers by Nirav Malani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nirav Malani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nirav Malani Line = papers co-authored together Nirav Malani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Feasibility of blood testing combined with PET-CT to screen for cancer and guide intervention
Hit paper breakdown →
2020511
2 2011462
3 2009364
4 2014328
5 2015303
6 2011261
7 2010251
8 2010205
9 2011184
10 2013171
11 2013163
12 2013135
13 2010130
14 2009129
15 2009126
16 2010110
17 2014108
18 2016103
19 201398
20 201483

About Nirav Malani

Nirav Malani is a scholar working on Virology, Genetics, Infectious Diseases, Molecular Biology and Cancer Research, having authored 50 papers that have together received 5.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (17 papers), HIV Research and Treatment (17 papers), Virus-based gene therapy research (16 papers), HIV/AIDS drug development and treatment (10 papers), Chromosomal and Genetic Variations (6 papers), Protein Degradation and Inhibitors (5 papers), RNA Interference and Gene Delivery (5 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Virology (1.2k citations), Genetics (1.9k citations), Infectious Diseases (892 citations), Molecular Biology (3.2k citations) and Oncology (896 citations). Nirav Malani has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Frederic D. Bushman, Charles C. Berry, Troy Brady, Shoshannah L. Roth, Keshet Ronen, Frances Male, Katherine A. High, Gary P. Wang, Hojun Li and Rik Gijsbers. Their work appears in journals such as Retrovirology, Nucleic Acids Research, Proceedings of the National Academy of Sciences, PLoS Pathogens and Molecular Therapy.

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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