John M. Baratta

401 citations
11 papers · 191 indexed · 1 hit paper · h-index 4
Topics
Long-Term Effects of COVID-19 (7 papers)COVID-19 and Mental Health (2 papers)Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS MedicineBMC Medicine
Partner nations
United StatesNetherlands

In The Last Decade

John M. Baratta

8 papers receiving 183 citations

Hit Papers

Coding long COVID: characterizing a new disease through a...20232026202420252023255075

Peers

John M. Baratta
Comparison fields: 5 of 54
  • Neurology 160
  • Clinical Psychology 58
  • Infectious Diseases 55
  • Critical Care and Intensive Care Medicine 49
  • Psychiatry and Mental health 46
Replace Nathalie MacDermott with:
Nathalie MacDermott United Kingdom
John Mwangi United States
Matthieu Gasnier France
Dmitry Morozyuk United States
Michele Longo United States
Sarah Baca United States
Yolanda Ruíz Spain
Laura Patrizi Italy
Laura Feced Spain
Célia Primus-de Jong United States
John M. Baratta relative to Nathalie MacDermott United Kingdom Nathalie MacDermott's profile →
Citations per field
00.5×3.8×
Nathalie MacDermott · 1×
Citations per year

Countries citing papers authored by John M. Baratta

Since Specialization
Citations

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

Fields of papers citing papers by John M. Baratta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Baratta. 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 John M. Baratta. The network helps show where John M. Baratta may publish in the future.

Co-authorship network of co-authors of John M. Baratta

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 3
6 0
7 1
8
Coding long COVID: characterizing a new disease through an ICD-10 lensbreakdown →
84
9 86
10 14
11 0

About John M. Baratta

John M. Baratta is a scholar working on Neurology, Rehabilitation and Neurology, having authored 11 papers that have together received 191 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (7 papers), COVID-19 and Mental Health (2 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). The work is most often cited by research in Neurology (160 citations), Critical Care and Intensive Care Medicine (49 citations) and Psychiatry and Mental health (46 citations). John M. Baratta has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Soo Yeon Kim, Jonathan Whiteson, Monica Verduzco‐Gutierrez, Sarah Sampsel, Alba Azola, Talya K. Fleming, Julie K. Silver, Jason H. Maley, Benjamin Abramoff and Joseph E. Herrera. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS Medicine and BMC Medicine.

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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