Sarika Garg

21 total papers · 629 total citations
10 papers, 465 citations indexed

About

Sarika Garg is a scholar working on Biotechnology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Sarika Garg has authored 10 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biotechnology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Sarika Garg's work include Enzyme Production and Characterization (2 papers), Biofuel production and bioconversion (2 papers) and Alzheimer's disease research and treatments (2 papers). Sarika Garg is often cited by papers focused on Enzyme Production and Characterization (2 papers), Biofuel production and bioconversion (2 papers) and Alzheimer's disease research and treatments (2 papers). Sarika Garg collaborates with scholars based in India, Germany and Canada. Sarika Garg's co-authors include Eva‐Maria Mandelkow, Yipeng Wang, Eckhard Mandelkow�, R.S. Rathore, Neha Garg, Thomas Timm, Anil Kumar, Anil Kumar, Rustam Ali and Rohit Gupta and has published in prestigious journals such as Neurobiology of Aging, Biochemical Society Transactions and Food Microbiology.

In The Last Decade

Sarika Garg

10 papers receiving 451 citations

Author Peers

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

Author Last Decade Papers Cites
Sarika Garg 167 153 104 101 70 10 465
Marida Bimonte 180 1.1× 102 0.7× 49 0.5× 63 0.6× 23 0.3× 16 423
Raúl Rodríguez 106 0.6× 86 0.6× 55 0.5× 81 0.8× 35 0.5× 15 525
Shuyun Zhu 157 0.9× 55 0.4× 142 1.4× 136 1.3× 36 0.5× 13 446
Nadira Taïeb 260 1.6× 68 0.4× 57 0.5× 97 1.0× 38 0.5× 15 546
Ulrike Müller 115 0.7× 57 0.4× 209 2.0× 126 1.2× 47 0.7× 19 535
David H. Strumeyer 205 1.2× 86 0.6× 64 0.6× 122 1.2× 12 0.2× 22 546
Diana Macedo 152 0.9× 118 0.8× 62 0.6× 44 0.4× 77 1.1× 10 513
Alana de Freitas Pires 238 1.4× 44 0.3× 69 0.7× 128 1.3× 36 0.5× 25 552
C. R. Brown 237 1.4× 36 0.2× 68 0.7× 124 1.2× 20 0.3× 9 487
João Benhur Mokochinski 154 0.9× 32 0.2× 106 1.0× 139 1.4× 72 1.0× 21 538

Countries citing papers authored by Sarika Garg

Since Specialization
Citations

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

Fields of papers citing papers by Sarika Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarika Garg

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