Anupama Sinha

82 total papers · 1.2k total citations
25 papers, 862 citations indexed

About

Anupama Sinha is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Anupama Sinha has authored 25 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Genetics. Recurrent topics in Anupama Sinha's work include Electrowetting and Microfluidic Technologies (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Anupama Sinha is often cited by papers focused on Electrowetting and Microfluidic Technologies (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Anupama Sinha collaborates with scholars based in United States, Russia and Canada. Anupama Sinha's co-authors include Gerald V. Denis, Douglas V. Faller, Steven S. Branda, Raga Krishnakumar, Kelly P. Williams, Kamlesh D. Patel, Catherine E. Costello, Mark E. McComb, Paul B. Romesser and Michael Bartsch and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Anupama Sinha

21 papers receiving 853 citations

Author Peers

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

Author						Papers	Cites
Anupama Sinha	482	249	131	128	70	25	862
Yu Mei	185 0.4×	93 0.4×	135 1.0×	11 0.1×	32 0.5×	24	781
Donna Mahony	424 0.9×	192 0.8×	78 0.6×	16 0.1×	6 0.1×	28	1.0k
Na Kyeong Lee	355 0.7×	205 0.8×	30 0.2×	8 0.1×	57 0.8×	34	753
Alessandra Lopes	399 0.8×	173 0.7×	71 0.5×	16 0.1×	6 0.1×	13	995
Elizabeth Fink	293 0.6×	190 0.8×	92 0.7×	7 0.1×	14 0.2×	16	892
Brian C. Evans	481 1.0×	320 1.3×	38 0.3×	14 0.1×	12 0.2×	19	985
Maria Manunta	608 1.3×	74 0.3×	32 0.2×	25 0.2×	11 0.2×	26	1.0k
Jun F. Liang	448 0.9×	80 0.3×	50 0.4×	21 0.2×	12 0.2×	25	703
Zhi Liu	203 0.4×	38 0.2×	9 0.1×	50 0.4×	36 0.5×	41	889
Omid Gholizadeh	318 0.7×	82 0.3×	81 0.6×	5 0.0×	17 0.2×	31	772

Countries citing papers authored by Anupama Sinha

Since Specialization

Citations

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

Fields of papers citing papers by Anupama Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupama Sinha

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