Karishma T. Mody

982 total citations
16 papers, 688 citations indexed

About

Karishma T. Mody is a scholar working on Molecular Biology, Immunology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Karishma T. Mody has authored 16 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Karishma T. Mody's work include Vector-Borne Animal Diseases (5 papers), Animal Disease Management and Epidemiology (4 papers) and Advanced Drug Delivery Systems (4 papers). Karishma T. Mody is often cited by papers focused on Vector-Borne Animal Diseases (5 papers), Animal Disease Management and Epidemiology (4 papers) and Advanced Drug Delivery Systems (4 papers). Karishma T. Mody collaborates with scholars based in Australia, United States and India. Karishma T. Mody's co-authors include Neena Mitter, Donna Mahony, Antonino S. Cavallaro, H. R. Pappu, Elizabeth A. Worrall, Aflaq Hamid, Chengzhong Yu, Amirali Popat, Timothy J. Mahony and Shi‐Zhang Qiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Karishma T. Mody

16 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karishma T. Mody Australia	9	201	195	165	146	146	16	688
Antonino S. Cavallaro Australia	14	98 0.5×	337 1.7×	248 1.5×	170 1.2×	136 0.9×	18	779
Howra Bahrulolum Iran	5	309 1.5×	338 1.7×	124 0.8×	95 0.7×	194 1.3×	10	997
Saghi Nooraei Iran	5	309 1.5×	334 1.7×	124 0.8×	94 0.6×	194 1.3×	8	992
Hassan Moeini Malaysia	18	53 0.3×	237 1.2×	102 0.6×	79 0.5×	75 0.5×	46	784
Dehui Sun China	17	76 0.4×	252 1.3×	107 0.6×	52 0.4×	163 1.1×	29	1.0k
Susana Mendoza‐Elvira Mexico	16	57 0.3×	106 0.5×	45 0.3×	103 0.7×	76 0.5×	54	783
Koushlesh Ranjan India	11	73 0.4×	130 0.7×	30 0.2×	60 0.4×	121 0.8×	39	559
Julita Nowakowska Poland	12	111 0.6×	181 0.9×	37 0.2×	108 0.7×	80 0.5×	34	572
Alberto Danielli Italy	24	185 0.9×	467 2.4×	274 1.7×	127 0.9×	169 1.2×	49	1.3k
Jussi J. Joensuu Finland	21	64 0.3×	747 3.8×	231 1.4×	224 1.5×	126 0.9×	39	1.2k

Countries citing papers authored by Karishma T. Mody

Since Specialization

Citations

This map shows the geographic impact of Karishma T. Mody'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 Karishma T. Mody with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karishma T. Mody more than expected).

Fields of papers citing papers by Karishma T. Mody

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karishma T. Mody. 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 Karishma T. Mody. The network helps show where Karishma T. Mody may publish in the future.

Co-authorship network of co-authors of Karishma T. Mody

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

All Works

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16 of 16 papers shown

1.

Zhang, Bing, Jiaxi Yong, Peter James, et al.. (2024). The use of cell and larval assays to identify target genes for RNA interference‐meditated control of the Australian sheep blowfly (Lucilia cuprina). Pest Management Science. 80(9). 4686–4698. 1 indexed citations

2.

Mody, Karishma T., Antonino S. Cavallaro, Loan Nguyen, et al.. (2024). Chromosome-Scale Genome Assembly of the Sheep-Biting Louse Bovicola ovis Using Nanopore Sequencing Data and Pore-C Analysis. International Journal of Molecular Sciences. 25(14). 7824–7824. 1 indexed citations

3.

Mitter, Neena, et al.. (2022). RNAi-Based Biocontrol of Pests to Improve the Productivity and Welfare of Livestock Production. SHILAP Revista de lepidopterología. 1(3). 229–243. 7 indexed citations

4.

Lacasta, Anna, Karishma T. Mody, Chengzhong Yu, et al.. (2021). Synergistic Effect of Two Nanotechnologies Enhances the Protective Capacity of the Theileria parva Sporozoite p67C Antigen in Cattle. The Journal of Immunology. 206(4). 686–699. 14 indexed citations

5.

Mody, Karishma T., Xun Li, Nicholas L. Fletcher, et al.. (2021). Characterization of the Biodistribution of a Silica Vesicle Nanovaccine Carrying a Rhipicephalus (Boophilus) microplus Protective Antigen With in vivo Live Animal Imaging. Frontiers in Bioengineering and Biotechnology. 8. 606652–606652. 8 indexed citations

6.

Mody, Karishma T., Bing Zhang, Xun Li, et al.. (2020). Topical RNAi for Sustainable Animal Health. SHILAP Revista de lepidopterología. 170–170. 2 indexed citations

7.

Worrall, Elizabeth A., Aflaq Hamid, Karishma T. Mody, Neena Mitter, & H. R. Pappu. (2018). Nanotechnology for Plant Disease Management. Agronomy. 8(12). 285–285. 254 indexed citations

8.

Mody, Karishma T., Jun Zhang, James R. Deringer, et al.. (2016). Nanoparticle-Based Delivery of Anaplasma marginale Membrane Proteins; VirB9-1 and VirB10 Produced in the Pichia pastoris Expression System. Nanomaterials. 6(11). 201–201. 7 indexed citations

9.

Mody, Karishma T., Donna Mahony, Antonino S. Cavallaro, et al.. (2015). Silica Vesicle Nanovaccine Formulations Stimulate Long-Term Immune Responses to the Bovine Viral Diarrhoea Virus E2 Protein. PLoS ONE. 10(12). e0143507–e0143507. 40 indexed citations

10.

Mahony, Donna, Karishma T. Mody, Antonino S. Cavallaro, et al.. (2015). Immunisation of Sheep with Bovine Viral Diarrhoea Virus, E2 Protein Using a Freeze-Dried Hollow Silica Mesoporous Nanoparticle Formulation. PLoS ONE. 10(11). e0141870–e0141870. 13 indexed citations

11.

Mody, Karishma T., Donna Mahony, Jun Zhang, et al.. (2014). Silica vesicles as nanocarriers and adjuvants for generating both antibody and T-cell mediated immune resposes to Bovine Viral Diarrhoea Virus E2 protein. Biomaterials. 35(37). 9972–9983. 40 indexed citations

12.

Mody, Karishma T., Donna Mahony, Antonino S. Cavallaro, et al.. (2014). Freeze-drying of ovalbumin loaded mesoporous silica nanoparticle vaccine formulation increases antigen stability under ambient conditions. International Journal of Pharmaceutics. 465(1-2). 325–332. 22 indexed citations

13.

Mahony, Donna, Antonino S. Cavallaro, Karishma T. Mody, et al.. (2014). In vivo delivery of bovine viral diahorrea virus, E2 protein using hollow mesoporous silica nanoparticles. Nanoscale. 6(12). 6617–6626. 54 indexed citations

14.

Mody, Karishma T., Amirali Popat, Donna Mahony, et al.. (2013). Mesoporous silica nanoparticles as antigen carriers and adjuvants for vaccine delivery. Nanoscale. 5(12). 5167–5167. 218 indexed citations

15.

Mody, Karishma T., Donna Mahony, Timothy J. Mahony, & Neena Mitter. (2012). Freeze-Drying of Protein-Loaded Nanoparticles for Vaccine Delivery. Drug Delivery Letters. 2(2). 83–91. 2 indexed citations

16.

Mody, Karishma T., Donna Mahony, Timothy J. Mahony, & Neena Mitter. (2012). Freeze-Drying of Protein-Loaded Nanoparticles for Vaccine Delivery. Drug Delivery Letters. 2(2). 83–91. 5 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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