Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Manisha Sengupta
Since
Specialization
Citations
This map shows the geographic impact of Manisha Sengupta'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 Manisha Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manisha Sengupta more than expected).
Fields of papers citing papers by Manisha Sengupta
This network shows the impact of papers produced by Manisha Sengupta. 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 Manisha Sengupta. The network helps show where Manisha Sengupta may publish in the future.
Co-authorship network of co-authors of Manisha Sengupta
This figure shows the co-authorship network connecting the top 25 collaborators of Manisha Sengupta.
A scholar is included among the top collaborators of Manisha Sengupta 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 Manisha Sengupta. Manisha Sengupta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ingram, Deborah D., Donald Malec, Diane M. Makuc, et al.. (2018). National Center for Health Statistics Guidelines for Analysis of Trends.. PubMed. 1–71.135 indexed citations
Caffrey, Christine & Manisha Sengupta. (2018). Variation in Residential Care Community Resident Characteristics, by Size of Community: United States, 2016.. PubMed. 1–8.15 indexed citations
8.
Khatutsky, Galina, Joshua M. Wiener, Angela Greene, et al.. (2016). Residential care communities and their residents in 2010 : a national portrait.22 indexed citations
9.
Caffrey, Christine, Lauren Harris-Kojetin, & Manisha Sengupta. (2015). Variation in Operating Characteristics of Residential Care Communities, by Size of Community: United States, 2014.. PubMed. 1–8.7 indexed citations
10.
Caffrey, Christine, Lauren Harris-Kojetin, Vincent Rome, & Manisha Sengupta. (2014). Operating characteristics of residential care communities, by community bed size: United States, 2012.. PubMed. 1–8.6 indexed citations
11.
Park‐Lee, Eunice, Manisha Sengupta, & Lauren Harris-Kojetin. (2013). Dementia special care units in residential care communities: United States, 2010.. PubMed. 1–8.18 indexed citations
12.
Harris-Kojetin, Lauren, Manisha Sengupta, Eunice Park‐Lee, & Roberto Valverde. (2013). Long-Term Care Services in the United States: 2013 Overview.. PubMed. 1–107.242 indexed citations
Caffrey, Christine, Manisha Sengupta, Eunice Park‐Lee, et al.. (2012). Residents living in residential care facilities: United States, 2010.. PubMed. 1–8.125 indexed citations
15.
Bercovitz, Anita, Abigail J. Moss, Manisha Sengupta, et al.. (2011). An overview of home health aides: United States, 2007.. PubMed. 1–31.47 indexed citations
Bercovitz, Anita, Abigail J. Moss, Manisha Sengupta, et al.. (2010). Design and operation of the national home health aide survey: 2007-2008.. PubMed. 1–94.7 indexed citations
18.
Sengupta, Manisha, et al.. (2008). Do battered mothers have more fetal and infant deaths? Evidence from India..1 indexed citations
19.
Sengupta, Manisha & Nan E. Johnson. (2006). Does educational superiority autonomize daughters-in-law who live with their mothers-in-law in India? A test of Caldwell's thesis.3 indexed citations
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.