Girdhar M. Taori
- Infectious Diseases top 2%
- Epidemiology top 5%
- Surgery top 10%
- Molecular Biology
- Plant Science top 10%
- Co-authors
- Hatim F. DaginawalaRajpal S. KashyapHemant J. PurohitJayant Y DeopujariAmit R. NayakSuman RamtekeDinesh KabraS Shekhawat
- Topics
- Tuberculosis Research and Epidemiology (31 papers)Infectious Diseases and Tuberculosis (24 papers)Mycobacterium research and diagnosis (15 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Girdhar M. Taori
79 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 118
- Infectious Diseases 614
- Epidemiology 520
- Surgery 439
- Molecular Biology 425
- Plant Science 254
Countries citing papers authored by Girdhar M. Taori
This map shows the geographic impact of Girdhar M. Taori'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 Girdhar M. Taori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Girdhar M. Taori more than expected).
Fields of papers citing papers by Girdhar M. Taori
This network shows the impact of papers produced by Girdhar M. Taori. 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 Girdhar M. Taori. The network helps show where Girdhar M. Taori may publish in the future.
Co-authorship network of co-authors of Girdhar M. Taori
This figure shows the co-authorship network connecting the top 25 collaborators of Girdhar M. Taori. A scholar is included among the top collaborators of Girdhar M. Taori 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 Girdhar M. Taori. Girdhar M. Taori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 10 | |
| 3 | 21 | |
| 4 | 25 | |
| 5 | 20 | |
| 6 | Assessment of cellular immune response to culture filtrate antigens of M. tuberculosis culture using in vitro PBMC model. Prospects to new vaccinedevelopment | 1 |
| 7 | 13 | |
| 8 | 26 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 25 | |
| 14 | 58 | |
| 15 | 48 | |
| 16 | 318 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | Significance Of 30 KD Protein As A Diagnostic Marker In CSF Of tuberculour Meningits | 7 |
| 20 | 1 |
About Girdhar M. Taori
Girdhar M. Taori is a scholar working on Infectious Diseases, Microbiology and Epidemiology, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (31 papers), Infectious Diseases and Tuberculosis (24 papers) and Mycobacterium research and diagnosis (15 papers). The work is most often cited by research in Infectious Diseases (614 citations), Microbiology (162 citations) and Epidemiology (520 citations). Girdhar M. Taori has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Hatim F. Daginawala, Rajpal S. Kashyap, Hemant J. Purohit, Jayant Y Deopujari, Amit R. Nayak, Suman Ramteke, Rajpal S. Kashyap, Dinesh Kabra, S Shekhawat and Aliabbas A. Husain. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.