Manoj Pardasani

648 citations
36 papers · 435 · h-index 13

Impact in

Papers in

Manoj Pardasani

36 papers receiving 410 citations

Peers

Manoj Pardasani
Comparison fields: 5 of 83
  • Neuropsychology and Physiological Psychology 51
  • Health 106
  • Public Administration 41
  • Demography 114
  • General Health Professions 164
Replace Andrea Principi with:
Andrea Principi Italy
Amílcar Moreira Portugal
Patrick Denice Canada
José de São José Portugal
Martha Doyle Ireland
Margaret Boneham United Kingdom
Arati Maleku United States
Sheila R. Zedlewski United States
Albert Banerjee Canada
Thomas B. Jankowski United States
Manoj Pardasani relative to Andrea Principi Italy Andrea Principi's profile →
Citations per field
00.5×4.6×
Andrea Principi · 1×
Citations per year

Countries citing papers authored by Manoj Pardasani

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Pardasani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Manoj Pardasani, 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 Manoj Pardasani Line = papers co-authored together Manoj Pardasani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201057
2 201043
3 200638
4 200425
5 200424
6 200523
7 201121
8 201817
9 201717
10 201414
11 201413
12 202113
13 201312
14 202112
15 20139
16 20209
17
Ethnicity matters: the experiences of minority groups in public health programs.
20147
18 20137
19 20127
20 20106

About Manoj Pardasani

Manoj Pardasani is a scholar working on General Health Professions, Sociology and Political Science, Demography, Public Administration and Health, having authored 36 papers that have together received 435 indexed citations. Recurring topics across this work include Geriatric Care and Nursing Homes (9 papers), Social Work Education and Practice (8 papers), Migration, Aging, and Tourism Studies (6 papers), Nonprofit Sector and Volunteering (6 papers), Health disparities and outcomes (6 papers), Aging and Gerontology Research (3 papers), Community Health and Development (3 papers) and Interprofessional Education and Collaboration (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (51 citations), Health (106 citations), Public Administration (41 citations), Demography (114 citations) and General Health Professions (164 citations). Manoj Pardasani has collaborated with scholars based in United States. Frequent co-authors include Paul M. Thompson, Lauri Goldkind, Carole Cox, Subir Bandyopadhyay, Cathy Berkman, David Vincent, Janna C. Heyman, David F. Vincent, Judith R. Smith and Mebane Powell. Their work appears in journals such as Journal of Gerontological Social Work, Administration in Social Work, Journal of Applied Gerontology, Social Work Education and Journal of Social Work Education.

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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