Akhil Garg
- Infectious Diseases top 10%
- Clinical Biochemistry top 5%
- Epidemiology
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Co-authors
- Julien SenécalMark LoebAdam S. KomorowskiAndrew M. MorrisOlivier Del CorpoEmily G. McDonaldPranav TandonClare Fogarty
- Topics
- Bacterial Identification and Susceptibility Testing (4 papers)Antimicrobial Resistance in Staphylococcus (4 papers)Clostridium difficile and Clostridium perfringens research (2 papers)
- Journals
- Clinical Infectious DiseasesThe Lancet Infectious DiseasesClinical Microbiology and Infection
- Partner nations
- CanadaUnited StatesAustria
In The Last Decade
Akhil Garg
10 papers receiving 241 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Infectious Diseases 128
- Clinical Biochemistry 80
- Epidemiology 59
- Molecular Biology 53
- Public Health, Environmental and Occupational Health 36
Countries citing papers authored by Akhil Garg
This map shows the geographic impact of Akhil 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 Akhil Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhil Garg more than expected).
Fields of papers citing papers by Akhil Garg
This network shows the impact of papers produced by Akhil 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 Akhil Garg. The network helps show where Akhil Garg may publish in the future.
Co-authorship network of co-authors of Akhil Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Akhil Garg. A scholar is included among the top collaborators of Akhil 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 Akhil Garg. Akhil Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | Staphylococcus aureus bacteraemia mortality: a systematic review and meta-analysisbreakdown → | 150 |
| 4 | 10 | |
| 5 | 16 | |
| 6 | 9 | |
| 7 | Clinical Profile and Outcome of Chest Trauma in a Tertiary Care Hospital | 1 |
| 8 | 8 | |
| 9 | 34 | |
| 10 | Awareness and assessment of risk factors for lung cancer in residents of Pokhara Valley, Nepal. | 14 |
About Akhil Garg
Akhil Garg is a scholar working on Health Informatics, Clinical Biochemistry and Ecological Modeling, having authored 10 papers that have together received 246 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (27 citations), Clinical Biochemistry (80 citations) and Health Informatics (11 citations). Akhil Garg has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include Julien Senécal, Mark Loeb, Adam S. Komorowski, Andrew M. Morris, Olivier Del Corpo, Emily G. McDonald, Pranav Tandon, Clare Fogarty, Anthony D. Bai and Todd C. Lee. Their work appears in journals such as Clinical Infectious Diseases, The Lancet Infectious Diseases and Clinical Microbiology and Infection.
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.