Garima Garg

35 total papers · 1.5k total citations
28 papers, 979 citations indexed

About

Garima Garg is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Garima Garg has authored 28 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Garima Garg's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Bioactive natural compounds (3 papers). Garima Garg is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Bioactive natural compounds (3 papers). Garima Garg collaborates with scholars based in India, United States and Germany. Garima Garg's co-authors include Niwa Ali, Robert I. Lechler, Frank O. Nestlé, Pervinder Sagoo, Giovanna Lombardi, Timothy Tree, Mark Peakman, Jennie H. M. Yang, Antony J. Cutler and Linda S. Wicker and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and Science Translational Medicine.

In The Last Decade

Garima Garg

27 papers receiving 963 citations

Author Peers

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

Author Last Decade Papers Cites
Garima Garg 628 168 158 133 106 28 979
R. J. Perper 295 0.5× 267 1.6× 136 0.9× 98 0.7× 237 2.2× 41 1.1k
Roy A. Dempsey 582 0.9× 207 1.2× 61 0.4× 151 1.1× 208 2.0× 29 1.1k
Sandra W. van der Kooij 723 1.2× 258 1.5× 56 0.4× 176 1.3× 108 1.0× 22 1.1k
A Singer 479 0.8× 154 0.9× 101 0.6× 141 1.1× 171 1.6× 37 1.1k
B. Ryffel 516 0.8× 354 2.1× 94 0.6× 166 1.2× 121 1.1× 36 1.2k
Charlotte Jonsson 306 0.5× 181 1.1× 104 0.7× 133 1.0× 116 1.1× 38 1.0k
Jinguo Wang 663 1.1× 311 1.9× 268 1.7× 115 0.9× 168 1.6× 36 1.2k
Hannu Turpeinen 280 0.4× 232 1.4× 276 1.7× 42 0.3× 179 1.7× 33 875
Drew A. Roenneburg 290 0.5× 249 1.5× 75 0.5× 57 0.4× 131 1.2× 28 800
Chen‐Hao Yeh 494 0.8× 262 1.6× 62 0.4× 142 1.1× 163 1.5× 20 1.1k

Countries citing papers authored by Garima Garg

Since Specialization
Citations

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

Fields of papers citing papers by Garima Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garima Garg

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