Anuj Shah

68 total papers · 1.1k total citations
36 papers, 745 citations indexed

About

Anuj Shah is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Anuj Shah has authored 36 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Spectroscopy and 6 papers in Artificial Intelligence. Recurrent topics in Anuj Shah's work include Advanced Proteomics Techniques and Applications (7 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (5 papers). Anuj Shah is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (5 papers). Anuj Shah collaborates with scholars based in United States, India and Netherlands. Anuj Shah's co-authors include Muhammad Wasif Saif, Bobbie‐Jo Webb‐Robertson, Christopher Oehmen, Katrina M. Waters, Gordon Anderson, Richard Smith, Matthew Monroe, Mary Lipton, Vidhya Gurumoorthi and William R. Cannon and has published in prestigious journals such as Bioinformatics, Nature Methods and BMC Bioinformatics.

In The Last Decade

Anuj Shah

33 papers receiving 730 citations

Author Peers

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

Author						Papers	Cites
Anuj Shah	305	196	189	170	73	36	745
Yanwei Guo	117 0.4×	42 0.2×	195 1.0×	45 0.3×	106 1.5×	44	832
Yongbiao Li	294 1.0×	8 0.0×	148 0.8×	210 1.2×	27 0.4×	34	909
Urška Cvek	326 1.1×	50 0.3×	20 0.1×	112 0.7×	47 0.6×	52	735
Hak‐Soo Kim	188 0.6×	22 0.1×	45 0.2×	26 0.2×	39 0.5×	66	737
Marjan Trutschl	305 1.0×	48 0.2×	20 0.1×	77 0.5×	46 0.6×	50	667
Mikhail A. Pyatnitskiy	535 1.8×	14 0.1×	160 0.8×	59 0.3×	8 0.1×	48	870
Linyan Wang	268 0.9×	28 0.1×	10 0.1×	134 0.8×	30 0.4×	48	665
Zhongyan Li	258 0.8×	139 0.7×	16 0.1×	73 0.4×	52 0.7×	59	716
Pan Ma	197 0.6×	17 0.1×	50 0.3×	54 0.3×	8 0.1×	33	886
Gökhan Ertaylan	394 1.3×	34 0.2×	114 0.6×	261 1.5×	3 0.0×	39	822

Countries citing papers authored by Anuj Shah

Since Specialization

Citations

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

Fields of papers citing papers by Anuj Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuj Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Shah. A scholar is included among the top collaborators of Anuj Shah 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 Shah. Anuj Shah 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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