Anisha Luthra

1.7k total citations
12 papers, 279 citations indexed

About

Anisha Luthra is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Genetics. According to data from OpenAlex, Anisha Luthra has authored 12 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 4 papers in Genetics. Recurrent topics in Anisha Luthra's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Rare Diseases (2 papers). Anisha Luthra is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Rare Diseases (2 papers). Anisha Luthra collaborates with scholars based in United States and Canada. Anisha Luthra's co-authors include Jingxian Liu, Jackson Champer, Philipp W. Messer, Riona Reeves, Andrew G. Clark, Chen Liu, Nikolaus Schultz, Amber L. Simpson, Richard Kinh Gian and Pamela Causa Andrieu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.

In The Last Decade

Anisha Luthra

10 papers receiving 277 citations

Peers

Countries citing papers authored by Anisha Luthra

Since Specialization

Citations

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

Fields of papers citing papers by Anisha Luthra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anisha Luthra

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	AI cancer driver mutation predictions are valid in real-world data 2025 ·Nature Communications ·Thinh Ngoc Tran, Chris Fong, Karl Pichotta, Anisha Luthra, Ronglai Shen, (unknown), Michele Waters, Susie Kim, Xiang Li, Ino de Bruijn, Gregory J. Riely, Michael F. Berger, Marc Ladanyi, Debyani Chakravarty, Nikolaus Schultz, Justin Jee	0
2	Abstract 2856: Pks+ E. coli trigger intestinal stem cell plasticity and early onset colorectal cancer 2025 ·Cancer Research ·Stefanie Gerstberger, Melissa Lumish, Saskia Hartner, (unknown), Seongmin Choi, Krystal K. Lum, Christopher Cowley, Anisha Luthra, Qingwen Jiang, Hyung Jun Woo, (unknown), Henry Walch, Asha Krishnan, (unknown), Andrea Cercek, Rona Yaeger, Ileana M. Cristea, Andrew McPherson, Francisco Sánchez-Vega, Karuna Ganesh	2
3	Abstract 1252: AI-derived predictions improve identification of real-world cancer driver mutations 2024 ·Cancer Research ·Thinh Ngoc Tran, Chris Fong, (unknown), Anisha Luthra, Ronglai Shen, Yuan Chen, Michele Waters, Susie Kim, Gregory J. Riely, Debyani Chakravarty, Nikolaus Schultz, Justin Jee	0
4	Rectal Cancer after Prostate Radiation: A Complex and Controversial Disease 2023 ·Cancers ·Dana M. Omer, Hannah M. Thompson, Floris S. Verheij, Jonathan B. Yuval, Roni Rosen, (unknown), Anisha Luthra, Paul B. Romesser, Philip B. Paty, Julio García‐Aguilar, Francisco Sánchez-Vega	3
5	Abstract 4259: Identification of anti-neoplastic therapy given before initial visit at a referral center using natural language processing applied to medical oncology initial consultation notes 2023 ·Cancer Research ·Thinh Ngoc Tran, (unknown), Siyang Liu, Christopher J. Fong, Anisha Luthra, Brooke Mastrogiacomo, Steven B. Maron, Deborah Schrag, Sohrab P. Shah, Pedram Razavi, Bob T. Li, Gregory J. Riely, Nikolaus Schultz, Justin Jee	1
6	Computational methods and translational applications for targeted next‐generation sequencing platforms 2022 ·Genes Chromosomes and Cancer ·Anisha Luthra, Brooke Mastrogiacomo, Shaleigh Smith, Debyani Chakravarty, Nikolaus Schultz, Francisco Sánchez-Vega	4
7	Outcomes and Molecular Features of Brain Metastasis in Gastroesophageal Adenocarcinoma 2022 ·JAMA Network Open ·(unknown), Bastien Nguyen, Anisha Luthra, Joanne F. Chou, (unknown), Laura H. Tang, Vivian E. Strong, Daniela Molena, David R. Jones, Daniel G. Coit, David H. Ilson, Geoffrey Y. Ku, (unknown), (unknown), Marinela Capanu, Nikolaus Schultz, Kathryn Beal, Nelson S. Moss, Yelena Y. Janjigian, Steven B. Maron	10
8	Abstract 1158: A.I.-assisted clinical data curation to determine genomic biomarkers of cancer metastasis 2022 ·Cancer Research ·Anisha Luthra, (unknown), Brooke Mastrogiacomo, (unknown), Steven B. Maron, Jianjiong Gao, Justin Jee, Christopher J. Fong, Nikolaus Schultz	1
9	Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period 2021 ·Radiology ·Richard Kinh Gian, (unknown), Pamela Causa Andrieu, Anisha Luthra, (unknown), (unknown), Huy Nguyen, (unknown), Lior Gazit, (unknown), Christopher J. Fong, Natalie Gangai, Nikolaus Schultz, Farhana Zulkernine, Varadan Sevilimedu, Krishna Juluru, Amber L. Simpson, Hedvig Hricak	39
10	CRISPR Gene Drive Efficiency and Resistance Rate Is Highly Heritable with No Common Genetic Loci of Large Effect 2019 ·Genetics ·Jackson Champer, Cindy Wen, Anisha Luthra, Riona Reeves, (unknown), Chen Liu, (unknown), Jingxian Liu, Emily Yang, Philipp W. Messer, Andrew G. Clark	27
11	Maximum Likelihood Estimation of Fitness Components in Experimental Evolution 2019 ·Genetics ·Jingxian Liu, Jackson Champer, (unknown), Chen Liu, (unknown), Riona Reeves, Anisha Luthra, (unknown), Andrew H. Vaughn, Andrew G. Clark, Philipp W. Messer	25
12	Reducing resistance allele formation in CRISPR gene drive 2018 ·Proceedings of the National Academy of Sciences ·Jackson Champer, Jingxian Liu, (unknown), Riona Reeves, Anisha Luthra, (unknown), Andrew G. Clark, Philipp W. Messer	167

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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