Megha A. Parikh

26 papers receiving 519 citations

Peers

Megha A. Parikh
Comparison fields: 5 of 88
  • Pulmonary and Respiratory Medicine 290
  • Cardiology and Cardiovascular Medicine 123
  • Molecular Biology 72
  • Physiology 65
  • General Health Professions 62
Replace Luís Gustavo Modelli de Andrade with:
Luís Gustavo Modelli de Andrade Brazil
Anthony Paulo Sunjaya Australia
Alon Geva United States
Elnara Fazio‐Eynullayeva United Kingdom
Katherine Pratte United States
Ignatios Ioakeim‐Skoufa Spain
Lori Stevenson United States
Matthew J. Czarny United States
Jacob B. Pierce United States
Jonás Carmona‐Pírez Spain
Megha A. Parikh relative to Luís Gustavo Modelli de Andrade Brazil Luís Gustavo Modelli de Andrade's profile →
Citations per field
00.5×6.5×
Luís Gustavo Modelli de Andrade · 1×
Citations per year

Countries citing papers authored by Megha A. Parikh

Since Specialization
Citations

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

Fields of papers citing papers by Megha A. Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megha A. Parikh. 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 Megha A. Parikh. The network helps show where Megha A. Parikh may publish in the future.

Co-authorship network of co-authors of Megha A. Parikh

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 1
5 12
6 15
7 1
8 21
9 10
10 6
11 7
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13 16
14 35
15 17
16
Assessing electronic health record implementation challenges using item response theory.
12
17 61
18 114
19 82
20 38

About Megha A. Parikh

Megha A. Parikh is a scholar working on Family Practice, Geriatrics and Gerontology and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 525 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Pulmonary Hypertension Research and Treatments (5 papers) and Medication Adherence and Compliance (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (290 citations), Family Practice (13 citations) and Cardiology and Cardiovascular Medicine (123 citations). Megha A. Parikh has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Eric A. Hoffman, R. Graham Barr, David A. Bluemke, Katja Hueper, Jens Vogel‐Claussen, João A.C. Lima, Martin R. Prince, Chia‐Ying Liu, Benjamin M. Smith and Margaret F. Doyle. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and American Journal of Respiratory and Critical Care 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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2026