Anuj Srivastava

1.9k total citations
30 papers, 632 citations indexed

About

Anuj Srivastava is a scholar working on Molecular Biology, Genetics and Electrical and Electronic Engineering. According to data from OpenAlex, Anuj Srivastava has authored 30 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Anuj Srivastava's work include Optical Network Technologies (5 papers), Advanced Photonic Communication Systems (4 papers) and Cancer Genomics and Diagnostics (4 papers). Anuj Srivastava is often cited by papers focused on Optical Network Technologies (5 papers), Advanced Photonic Communication Systems (4 papers) and Cancer Genomics and Diagnostics (4 papers). Anuj Srivastava collaborates with scholars based in United States, India and United Kingdom. Anuj Srivastava's co-authors include Gary A. Churchill, Steve Horvath, Robert E. Braun, Aldons J. Lusis, Ron Korstanje, Liudmilla Rubbi, Richard C. Davis, Karolina Chwiałkowska, Michael J. Thompson and Matteo Pellegrini and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Anuj Srivastava

28 papers receiving 619 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anuj Srivastava United States	12	280	173	81	62	57	30	632
Alejandra García Chile	15	499 1.8×	77 0.4×	103 1.3×	46 0.7×	129 2.3×	43	957
Yong Fu China	20	246 0.9×	94 0.5×	112 1.4×	70 1.1×	31 0.5×	77	874
Rebecca Begley United States	8	490 1.8×	160 0.9×	70 0.9×	20 0.3×	37 0.6×	10	784
Syed Hamid Ali United States	11	433 1.5×	149 0.9×	45 0.6×	79 1.3×	53 0.9×	13	859
B. Chevalier France	19	575 2.1×	197 1.1×	42 0.5×	223 3.6×	135 2.4×	64	1.3k
Kimberly R. Kukurba United States	7	523 1.9×	184 1.1×	38 0.5×	165 2.7×	37 0.6×	7	841
Giuseppe Marceddu Italy	13	166 0.6×	68 0.4×	35 0.4×	22 0.4×	33 0.6×	40	456
Marilyn Khanna United States	11	196 0.7×	102 0.6×	20 0.2×	48 0.8×	39 0.7×	12	651
Hongyong Zhang China	14	468 1.7×	198 1.1×	74 0.9×	44 0.7×	16 0.3×	41	772
Charles L. Magness United States	7	261 0.9×	177 1.0×	168 2.1×	26 0.4×	31 0.5×	8	572

Countries citing papers authored by Anuj Srivastava

Since Specialization

Citations

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

Fields of papers citing papers by Anuj Srivastava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuj Srivastava

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

All Works

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20 of 20 papers shown

Tyler, Anna L., J. Matthew Mahoney, Mark P. Keller, et al.. (2025). Transcripts with high distal heritability mediate genetic effects on complex metabolic traits. Nature Communications. 16(1). 5507–5507.

Lott, Paul C., et al.. (2024). Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium. Cancer Research Communications. 4(8). 2147–2152. 1 indexed citations

Stearns, Timothy M., Vivek M. Philip, Michael W. Lloyd, et al.. (2024). Abstract 5468: Pediatric Preclinical In Vivo Testing (PIVOT) data portal enables access to 15 years of retrospective treatment study data in support of prospective study design. Cancer Research. 84(6_Supplement). 5468–5468.

Cornes, Belinda K., et al.. (2023). Protein coding variation in the J:ARC and J:DO outbred laboratory mouse stocks provides a molecular basis for distinct research applications. G3 Genes Genomes Genetics. 13(4). 1 indexed citations

Domanskyi, Sergii, et al.. (2023). ACDA: implementation of an augmented drug synergy prediction algorithm. Bioinformatics Advances. 3(1). vbad051–vbad051. 2 indexed citations

George, Joshy, Yaohui Chen, Nourhan Abdelfattah, et al.. (2022). Cancer Stem Cells, not Bulk Tumor Cells, Determine Mechanisms of Resistance to SMO Inhibitors. Cancer Research Communications. 2(6). 402–416. 5 indexed citations

Evrard, Yvonne A., Anuj Srivastava, Jelena Randjelović, et al.. (2020). Systematic Establishment of Robustness and Standards in Patient-Derived Xenograft Experiments and Analysis. Cancer Research. 80(11). 2286–2297. 30 indexed citations

Woo, Xing Yi, Anuj Srivastava, Joel H. Graber, et al.. (2019). Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines. BMC Medical Genomics. 12(1). 92–92. 21 indexed citations

Srivastava, Anuj, et al.. (2018). Functional Redundancy of DICER Cofactors TARBP2 and PRKRA During Murine Embryogenesis Does Not Involve miRNA Biogenesis. Genetics. 208(4). 1513–1522. 9 indexed citations

10.

Thompson, Michael J., Karolina Chwiałkowska, Liudmilla Rubbi, et al.. (2018). A multi-tissue full lifespan epigenetic clock for mice. Aging. 10(10). 2832–2854. 121 indexed citations

11.

Ananda, Guruprasad, Susan M. Mockus, Talia Mitchell, et al.. (2015). Development and validation of the JAX Cancer Treatment Profile™ for detection of clinically actionable mutations in solid tumors. Experimental and Molecular Pathology. 98(1). 106–112. 25 indexed citations

12.

Srivastava, Anuj, et al.. (2014). Carcinoma Breast Male: A Case Report. American Journal of Medical Case Reports. 2(3). 48–49. 1 indexed citations

13.

Fujiwara, Yasuhiro, et al.. (2014). An ENU-induced mutation in the mouse Rnf212 gene is associated with male meiotic failure and infertility. Reproduction. 149(1). 67–74. 13 indexed citations

14.

Jain, Sanjay K., et al.. (2014). Spinal Cord Injury: Scenario in an Indian State. Spinal Cord. 53(5). 349–352. 46 indexed citations

15.

Srivastava, Anuj, Vivek M. Philip, Ian Greenstein, et al.. (2014). Discovery of transgene insertion sites by high throughput sequencing of mate pair libraries. BMC Genomics. 15(1). 367–367. 25 indexed citations

16.

Shaw, Timothy I., Anuj Srivastava, Wen‐Chi Chou, et al.. (2012). Transcriptome Sequencing and Annotation for the Jamaican Fruit Bat (Artibeus jamaicensis). PLoS ONE. 7(11). e48472–e48472. 55 indexed citations

17.

Srivastava, Anuj, Liming Cai, Jan Mrázek, & Russell L. Malmberg. (2011). Mutational Patterns in RNA Secondary Structure Evolution Examined in Three RNA Families. PLoS ONE. 6(6). e20484–e20484. 5 indexed citations

18.

Srivastava, Anuj, et al.. (2011). Transcriptome Analysis of Sarracenia, an Insectivorous Plant. DNA Research. 18(4). 253–261. 31 indexed citations

19.

Srivastava, Anuj, et al.. (2002). Ultra-dense terabit capacity WDM transmission in L-band. 4. 248–250. 8 indexed citations

20.

Srivastava, Anuj. (1999). WDM Transmission on existing Optical Fiber—Anticipated Problems and Probable Solutions. IETE Technical Review. 16(3-4). 335–339. 3 indexed citations

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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