Jay Achar

942 citations
27 papers · 331 · h-index 11

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 19
    • Viral Infections and Outbreaks Research 4
    • HIV/AIDS Research and Interventions 1
    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Mycobacterium research and diagnosis 4
    • Pneumonia and Respiratory Infections 4

Jay Achar

25 papers receiving 312 citations

Peers

Jay Achar
Comparison fields: 5 of 49
  • Infectious Diseases 270
  • Emergency Medical Services 28
  • Epidemiology 100
  • Modeling and Simulation 12
  • Surgery 63
Replace Sylvie Jonckheere with:
Sylvie Jonckheere Belgium
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Adebobola Bashorun Nigeria
E. M. Bogorodskaya Russia
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Jay Achar relative to Sylvie Jonckheere Belgium Sylvie Jonckheere's profile →
Citations per field
00.5×1.5×
Sylvie Jonckheere · 1×
Citations per year

Countries citing papers authored by Jay Achar

Since Specialization
Citations

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

Fields of papers citing papers by Jay Achar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay Achar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Achar Line = papers co-authored together Jay Achar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201756
2 201545
3 201739
4 201723
5 201623
6 202219
7 201615
8 202014
9 202014
10 201714
11 202211
12 20169
13 20188
14 20227
15 20215
16 20214
17 20234
18 20204
19 20224
20 20224

About Jay Achar

Jay Achar is a scholar working on Infectious Diseases, Epidemiology, Surgery, Emergency Medical Services and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 331 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Mycobacterium research and diagnosis (4 papers), Pneumonia and Respiratory Infections (4 papers), Viral Infections and Outbreaks Research (4 papers), Disaster Response and Management (2 papers), Diagnosis and treatment of tuberculosis (2 papers) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Infectious Diseases (270 citations), Emergency Medical Services (28 citations), Epidemiology (100 citations), Modeling and Simulation (12 citations) and Surgery (63 citations). Jay Achar has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include Séverine Caluwaerts, James A. Seddon, Philipp du Cros, Alena Skrahina, Jennifer Hughes, H. Simon Schaaf, Anthony J. Garcia‐Prats, Nargiza Parpieva, Jane Greig and Stefan Köhler. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, The Lancet Global Health, PLoS ONE, ERJ Open Research and BMC Infectious Diseases.

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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