Shilpi Garg

1.3k total citations
31 papers, 1.0k citations indexed

About

Shilpi Garg is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Immunology. According to data from OpenAlex, Shilpi Garg has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Public Health, Environmental and Occupational Health, 14 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Shilpi Garg's work include Malaria Research and Control (20 papers), Mosquito-borne diseases and control (10 papers) and Invertebrate Immune Response Mechanisms (7 papers). Shilpi Garg is often cited by papers focused on Malaria Research and Control (20 papers), Mosquito-borne diseases and control (10 papers) and Invertebrate Immune Response Mechanisms (7 papers). Shilpi Garg collaborates with scholars based in India, United States and Spain. Shilpi Garg's co-authors include Vishal Saxena, Sanjay Kumar Kochar, Dhanpat Kumar Kochar, Parmendra Sirohi, Vikas Gupta, Ashish Das, Ashis Das, Jeffrey F. Harper, Sheetal Middha and Shawn M. Romanowsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Plant Journal.

In The Last Decade

Shilpi Garg

28 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shilpi Garg India 16 660 318 226 163 120 31 1.0k
Markus S. Mueller Switzerland 15 497 0.8× 290 0.9× 101 0.4× 109 0.7× 189 1.6× 24 887
Sheetal Middha India 12 431 0.7× 102 0.3× 69 0.3× 118 0.7× 82 0.7× 22 608
Sílvia Maria Di Santi Brazil 17 772 1.2× 98 0.3× 56 0.2× 228 1.4× 112 0.9× 47 925
Bruna O. Carvalho Brazil 9 355 0.5× 180 0.6× 88 0.4× 95 0.6× 143 1.2× 9 610
Iroka J. Udeinya United States 16 1.1k 1.7× 181 0.6× 118 0.5× 223 1.4× 466 3.9× 28 1.4k
Anchalee Jaidee United Kingdom 10 657 1.0× 163 0.5× 36 0.2× 127 0.8× 144 1.2× 10 795
Maria de Fátima Ferreira‐da‐Cruz Brazil 17 561 0.8× 92 0.3× 42 0.2× 168 1.0× 127 1.1× 59 773
H.S. Banyal India 10 482 0.7× 173 0.5× 37 0.2× 71 0.4× 81 0.7× 30 676
Ursula Straschil United Kingdom 17 823 1.2× 272 0.9× 52 0.2× 173 1.1× 304 2.5× 23 1.1k
Adelfa E. Serrano Puerto Rico 13 501 0.8× 181 0.6× 33 0.1× 153 0.9× 53 0.4× 27 828

Countries citing papers authored by Shilpi Garg

Since Specialization
Citations

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

Fields of papers citing papers by Shilpi Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilpi Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Shilpi Garg. A scholar is included among the top collaborators of Shilpi 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 Shilpi Garg. Shilpi 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.
2.
Saxena, Vishal, et al.. (2019). Functional analysis of iron-sulfur cluster biogenesis (SUF pathway) from Plasmodium vivax clinical isolates. Experimental Parasitology. 198. 53–62. 6 indexed citations
3.
4.
Saxena, Vishal, et al.. (2018). Recent Advances in the [Fe–S] Cluster Biogenesis (SUF) Pathway Functional in the Apicoplast of Plasmodium. Trends in Parasitology. 34(9). 800–809. 19 indexed citations
5.
Roth, Alison, Swamy R. Adapa, Min Zhang, et al.. (2018). Unraveling the Plasmodium vivax sporozoite transcriptional journey from mosquito vector to human host. Scientific Reports. 8(1). 12183–12183. 35 indexed citations
6.
7.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2014). Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray. Genomics Data. 2. 199–201. 4 indexed citations
8.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2014). An in vivo transcriptome data set of natural antisense transcripts from Plasmodium falciparum clinical isolates. Genomics Data. 2. 393–395. 3 indexed citations
9.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2014). Natural antisense transcripts in Plasmodium falciparum isolates from patients with complicated malaria. Experimental Parasitology. 141. 39–54. 11 indexed citations
10.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2013). Revealing natural antisense transcripts from Plasmodium vivax isolates: Evidence of genome regulation in complicated malaria. Infection Genetics and Evolution. 20. 428–443. 11 indexed citations
11.
Pakalapati, Deepak, Shilpi Garg, Sheetal Middha, et al.. (2013). Development and evaluation of a 28S rRNA gene-based nested PCR assay forP. falciparumandP. vivax. Pathogens and Global Health. 107(4). 180–188. 23 indexed citations
12.
Garg, Shilpi, Vishal Saxena, Deepak Pakalapati, et al.. (2012). Novel mutations in the antifolate drug resistance marker genes among Plasmodium vivax isolates exhibiting severe manifestations. Experimental Parasitology. 132(4). 410–416. 19 indexed citations
13.
Curran, Amy, Ing‐Feng Chang, Shilpi Garg, et al.. (2011). Calcium-Dependent Protein Kinases from Arabidopsis Show Substrate Specificity Differences in an Analysis of 103 Substrates. SHILAP Revista de lepidopterología. 2. 36–36. 76 indexed citations
14.
Tanwar, Gajanand Singh, Abhishek Kochar, Sanjay Kumar Kochar, et al.. (2011). Clinical profiles of 13 children withPlasmodium vivaxcerebral malaria. Annals of Tropical Paediatrics. 31(4). 351–356. 44 indexed citations
15.
Tanwar, Gajanand Singh, Abhishek Kochar, Sheetal Middha, et al.. (2011). Thrombocytopenia in childhood malaria with special reference toP. vivaxmonoinfection: A study from Bikaner (Northwestern India). Platelets. 23(3). 211–216. 27 indexed citations
16.
Kochar, Dhanpat Kumar, Ashis Das, Abhishek Kochar, et al.. (2010). Thrombocytopenia inPlasmodium falciparum,Plasmodium vivaxand mixed infection malaria: A study from Bikaner (Northwestern India). Platelets. 21(8). 623–627. 70 indexed citations
17.
Myers, Candace T., Shawn M. Romanowsky, Shilpi Garg, et al.. (2009). Calcium‐dependent protein kinases regulate polarized tip growth in pollen tubes. The Plant Journal. 59(4). 528–539. 162 indexed citations
18.
Kochar, Dhanpat Kumar, Ashish Das, Sanjay Kumar Kochar, et al.. (2009). Severe Plasmodium vivax Malaria: A Report on Serial Cases from Bikaner in Northwestern India. American Journal of Tropical Medicine and Hygiene. 80(2). 194–198. 306 indexed citations
19.
Saxena, Vishal, et al.. (2007). Analysis of elongation factor Tu (tuf A) of apicoplast from Indian Plasmodium vivax isolates. Infection Genetics and Evolution. 7(5). 618–626. 8 indexed citations
20.
Garg, Shilpi & Priyanka Sharma. (2006). Operationalizing Gender in Context of HIV/AIDS. Indian Journal of Community Medicine. 31(3). 117.

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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