Jay Achar

951 citations
40 papers · 685 · h-index 14

Impact in

Papers in

Jay Achar

39 papers receiving 655 citations

Peers

Jay Achar
Comparison fields: 5 of 54
  • Infectious Diseases 598
  • Health Information Management 14
  • Applied Microbiology and Biotechnology 3
  • Pediatrics, Perinatology and Child Health 16
  • Emergency Medical Services 5
Replace Paula Vaz with:
Paula Vaz Mozambique
Lorena Mestanza United States
Ivor Langley United Kingdom
Nicholus Mutenda United States
Welile Sikhondze Switzerland
Kavindhran Velen South Africa
Nimer Ortuno Gutierrez Belgium
Hiwet Tzehaie United States
Ivan Manhiça Mozambique
Jessica Trenc Joseph United States
Jay Achar relative to Paula Vaz Mozambique Paula Vaz's profile →
Citations per field
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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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2 201965
3 201762
4 201549
5 201544
6 201741
7 201627
8 201726
9 202222
10 201920
11 201615
12 201715
13 202015
14 202215
15 201714
16 202014
17 201613
18 201612
19 202312
20 202411

About Jay Achar

Jay Achar is a scholar working on Infectious Diseases, Health Information Management, Cardiology and Cardiovascular Medicine, Economics and Econometrics and Surgery, having authored 40 papers that have together received 685 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (33 papers), Viral Infections and Outbreaks Research (4 papers), Electronic Health Records Systems (2 papers), Pericarditis and Cardiac Tamponade (1 paper), HIV/AIDS Research and Interventions (1 paper), Diagnosis and treatment of tuberculosis (1 paper) and Pharmaceutical Economics and Policy (1 paper). The work is most often cited by research in Infectious Diseases (598 citations), Health Information Management (14 citations), Applied Microbiology and Biotechnology (3 citations), Pediatrics, Perinatology and Child Health (16 citations) and Emergency Medical Services (5 citations). Jay Achar has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Séverine Caluwaerts, James A. Seddon, Philipp du Cros, Jane E. Greig, Alena M. Skrahina, Jennifer A. Hughes, Hendrik Simon Schaaf, Nargiza Parpieva, Anthony J. Garcia‐Prats and Nicolas Paul. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, Emerging infectious diseases, European Respiratory Journal, F1000Research and The Lancet Global Health.

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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