Anoop Grewal

590 total citations
13 papers, 463 citations indexed

About

Anoop Grewal is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Anoop Grewal has authored 13 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Anoop Grewal's work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Anoop Grewal is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (7 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Anoop Grewal collaborates with scholars based in United States, Sweden and Canada. Anoop Grewal's co-authors include John E. Pintar, Inbal Halperin, James Flynn, Suman Sundaresh, Mamatha Shekar, Gregory D. Wall, Robert G. Wisotzkey, Mostafa Ronaghi, Wenwu Cui and Ilya Kupershmidt and has published in prestigious journals such as PLoS ONE, Cancer Research and Regulatory Peptides.

In The Last Decade

Anoop Grewal

13 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anoop Grewal United States	7	269	111	88	72	51	13	463
Stéphanie Mottier France	11	226 0.8×	33 0.3×	65 0.7×	65 0.9×	59 1.2×	17	486
Jean‐Christophe Pointud France	13	336 1.2×	122 1.1×	76 0.9×	130 1.8×	34 0.7×	17	615
Simona Mencej-Bedrač Slovenia	7	213 0.8×	46 0.4×	45 0.5×	150 2.1×	96 1.9×	11	455
Ornella Affinito Italy	14	290 1.1×	32 0.3×	65 0.7×	59 0.8×	30 0.6×	31	437
Xiaosa Li China	13	670 2.5×	63 0.6×	96 1.1×	173 2.4×	53 1.0×	22	888
Pascal Belleau Canada	12	198 0.7×	61 0.5×	72 0.8×	134 1.9×	42 0.8×	22	391
Sylvie Renouf France	13	200 0.7×	222 2.0×	152 1.7×	62 0.9×	27 0.5×	19	644
Thierry Normand France	13	297 1.1×	243 2.2×	30 0.3×	189 2.6×	31 0.6×	23	628
Ahmad Pazirandeh Sweden	10	140 0.5×	110 1.0×	41 0.5×	103 1.4×	93 1.8×	10	496
M Tamura Japan	12	192 0.7×	32 0.3×	41 0.5×	128 1.8×	44 0.9×	23	528

Countries citing papers authored by Anoop Grewal

Since Specialization

Citations

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

Fields of papers citing papers by Anoop Grewal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anoop Grewal

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

All Works

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13 of 13 papers shown

Scudder, Sidney, et al.. (2020). Abstract 5456: Clinical validation of NAVIFY® Mutation Profiler for solid tumor NGS variant interpretation. Cancer Research. 80(16_Supplement). 5456–5456. 2 indexed citations

Grewal, Anoop & Dietrich A. Stephan. (2013). Diagnostics for Personalized Medicine: What Will Change in the Era of Large-Scale Genomics Studies?. Personalized Medicine. 10(8). 835–848. 1 indexed citations

Kupershmidt, Ilya, Qiaojuan Jane Su, Anoop Grewal, et al.. (2010). Ontology-Based Meta-Analysis of Global Collections of High-Throughput Public Data. PLoS ONE. 5(9). e13066–e13066. 287 indexed citations

Grewal, Anoop, et al.. (2007). Analysis of Expression Data: An Overview. Current Protocols in Human Genetics. 54(1). Unit 7.1–Unit 7.1. 14 indexed citations

Grewal, Anoop, et al.. (2007). Analysis of Expression Data: An Overview. Current Protocols in Bioinformatics. 17(1). 9 indexed citations

Grewal, Anoop, et al.. (2003). Tools for discovery: gene expression enterprise solutions.. PubMed. 6(3). 333–8. 5 indexed citations

Grewal, Anoop, et al.. (2003). Analysis of Expression Data: An Overview. Current Protocols in Human Genetics. 38(1). 1 indexed citations

Grewal, Anoop. (2000). Tools for Analyzing Microarray Expression Data. JALA Journal of the Association for Laboratory Automation. 5(5). 62–64. 15 indexed citations

Grewal, Anoop & Andrew Conway. (2000). Tools for Analyzing Microarray Expression Data. JALA Journal of the Association for Laboratory Automation. 5(5). 62–64. 2 indexed citations

10.

Grewal, Anoop, Sheri Bradshaw, Alwin G. Schuller, Malcolm J. Low, & John E. Pintar. (1999). Expression of IGF System Genes During T-Antigen Driven Pituitary Tumorigenesis. Hormone and Metabolic Research. 31(02/03). 155–160. 2 indexed citations

11.

Pintar, John E., et al.. (1995). Genetic ablation of IGFBP-2 suggests functional redundancy in the IGFBP family. PubMed. 6(2-4). 437–445. 40 indexed citations

12.

Grewal, Anoop, et al.. (1993). Tissue-specific expression of the insulin-like growth factor binding protein (IGFBP) mRNAs in mouse and rat development. Regulatory Peptides. 48(1-2). 189–198. 52 indexed citations

13.

Rogler, Leslie E., et al.. (1993). Targeted disruption of IGFBP-2 gene.. PubMed. 3(1). 5–8. 33 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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