Gagan Garg

1.4k total citations
39 papers, 715 citations indexed

About

Gagan Garg is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gagan Garg has authored 39 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 10 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gagan Garg's work include Botanical Research and Chemistry (5 papers), Genetic and Environmental Crop Studies (5 papers) and Genomics and Phylogenetic Studies (4 papers). Gagan Garg is often cited by papers focused on Botanical Research and Chemistry (5 papers), Genetic and Environmental Crop Studies (5 papers) and Genomics and Phylogenetic Studies (4 papers). Gagan Garg collaborates with scholars based in Australia, Singapore and India. Gagan Garg's co-authors include Shoba Ranganathan, Karam B. Singh, Lars G. Kamphuis, Jonathan P. Anderson, Louise F. Thatcher, Rhonda C. Foley, Prapat Suriyaphol, Sithichoke Tangphatsornruang, Wanta Yingyong and Sally Buck and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and Scientific Reports.

In The Last Decade

Gagan Garg

37 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gagan Garg Australia 17 368 212 108 91 90 39 715
Laila Alves Nahum Brazil 14 105 0.3× 248 1.2× 51 0.5× 68 0.7× 178 2.0× 24 651
Vinita Joardar United States 14 746 2.0× 357 1.7× 19 0.2× 121 1.3× 49 0.5× 16 1.2k
Eliza Simone Viégas Sallis Brazil 15 101 0.3× 105 0.5× 299 2.8× 82 0.9× 40 0.4× 79 638
Sandra Estrazulas Farias Brazil 13 77 0.2× 136 0.6× 31 0.3× 130 1.4× 66 0.7× 15 583
Sara E. Melville United Kingdom 20 250 0.7× 536 2.5× 102 0.9× 57 0.6× 201 2.2× 38 1.6k
Yong Yin United States 15 167 0.5× 227 1.1× 69 0.6× 13 0.1× 129 1.4× 24 484
Andreas Leclerque Germany 15 217 0.6× 284 1.3× 12 0.1× 27 0.3× 59 0.7× 47 539
Gastón Mougabure‐Cueto Argentina 19 341 0.9× 196 0.9× 129 1.2× 35 0.4× 65 0.7× 46 942
Marina Clemente Argentina 15 182 0.5× 331 1.6× 24 0.2× 30 0.3× 20 0.2× 36 731
P. Pohl Brazil 14 86 0.2× 136 0.6× 39 0.4× 103 1.1× 23 0.3× 29 551

Countries citing papers authored by Gagan Garg

Since Specialization
Citations

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

Fields of papers citing papers by Gagan Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gagan Garg

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

All Works

20 of 20 papers shown
1.
Garg, Gagan, Lars G. Kamphuis, Philipp E. Bayer, et al.. (2022). A pan‐genome and chromosome‐length reference genome of narrow‐leafed lupin (Lupinus angustifolius) reveals genomic diversity and insights into key industry and biological traits. The Plant Journal. 111(5). 1252–1266. 19 indexed citations
2.
Mittal, Amit, et al.. (2022). Adverse effects after first and second dose of covishield and covaxin: A longitudinal study. SHILAP Revista de lepidopterología. 11(11). 7339–7345. 1 indexed citations
3.
Garg, Gagan, et al.. (2022). Transcriptome profiling of the chilling response in wheat spikes: II, Response to short-term cold exposure. Current Plant Biology. 32. 100264–100264. 3 indexed citations
4.
Jacques, Silke, Jana Sperschneider, Gagan Garg, et al.. (2020). A functional genomics approach to dissect spotted alfalfa aphid resistance in Medicago truncatula. Scientific Reports. 10(1). 22159–22159. 7 indexed citations
5.
Shu, Canwei, Mei Zhao, Jonathan P. Anderson, et al.. (2019). Transcriptome analysis reveals molecular mechanisms of sclerotial development in the rice sheath blight pathogen Rhizoctonia solani AG1-IA. Functional & Integrative Genomics. 19(5). 743–758. 24 indexed citations
6.
DeBoer, Kathleen, Su Melser, Jana Sperschneider, et al.. (2019). Identification and profiling of narrow-leafed lupin (Lupinus angustifolius) microRNAs during seed development. BMC Genomics. 20(1). 135–135. 16 indexed citations
7.
Rujirawat, Thidarat, Preecha Patumcharoenpol, Tassanee Lohnoo, et al.. (2018). Probing the Phylogenomics and Putative Pathogenicity Genes of Pythium insidiosum by Oomycete Genome Analyses. Scientific Reports. 8(1). 4135–4135. 39 indexed citations
8.
9.
Kumar, R. Vinoth, et al.. (2016). Molecular genetic analysis and evolution of begomoviruses and betasatellites causing yellow mosaic disease of bhendi. Virus Genes. 53(2). 275–285. 17 indexed citations
10.
11.
Hallwirth, Claus V., Gagan Garg, Timothy J. Peters, et al.. (2015). Coherence analysis discriminates between retroviral integration patterns in CD34+ cells transduced under differing clinical trial conditions. Molecular Therapy — Methods & Clinical Development. 2. 15015–15015. 1 indexed citations
12.
Garg, Gagan, et al.. (2014). Impact of Educational Status of Parents on Nutritional Status of Adolescent Girls: A Cross Sectional Study -. SHILAP Revista de lepidopterología. 5(3). 266–269. 5 indexed citations
13.
Garg, Gagan, Rahul Bansal, & Kapil Goel. (2013). TOBACCO USE AND ITS CORRELATE FACTORS AMONG ADULT MALES IN RURAL AREA OF MEERUT-A CROSS SECTIONAL STUDY. Indian Journal of Community Health. 25(3). 281–284. 2 indexed citations
14.
Mohamedali, Abidali, Gagan Garg, Alain‐Dominique Gorse, et al.. (2013). Unlocking the Puzzling Biology of the Black Périgord Truffle Tuber melanosporum. Journal of Proteome Research. 12(12). 5349–5356. 16 indexed citations
15.
Garg, Gagan, Dolores Bernal, María Trelis, et al.. (2013). The transcriptome of Echinostoma caproni adults: Further characterization of the secretome and identification of new potential drug targets. Journal of Proteomics. 89. 202–214. 18 indexed citations
16.
Garg, Gagan & Shoba Ranganathan. (2012). Helminth secretome database (HSD): a collection of helminth excretory/secretory proteins predicted from expressed sequence tags (ESTs). BMC Genomics. 13(S7). S8–S8. 35 indexed citations
17.
Marcilla, Antonio, Gagan Garg, Dolores Bernal, et al.. (2012). The Transcriptome Analysis of Strongyloides stercoralis L3i Larvae Reveals Targets for Intervention in a Neglected Disease. PLoS neglected tropical diseases. 6(2). e1513–e1513. 39 indexed citations
18.
Menon, Ranjeeta, Gagan Garg, Robin B. Gasser, & Shoba Ranganathan. (2012). TranSeqAnnotator: large-scale analysis of transcriptomic data. BMC Bioinformatics. 13(S17). S24–S24. 7 indexed citations
19.
Garg, Gagan & Shoba Ranganathan. (2011). In silico secretome analysis approach for next generation sequencing transcriptomic data. BMC Genomics. 12(Suppl 3). S14–S14. 27 indexed citations
20.
Ranganathan, Shoba & Gagan Garg. (2009). Secretome: clues into pathogen infection and clinical applications. Genome Medicine. 1(11). 113–113. 56 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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