Maya Unnithan

831 citations
35 papers · 417 · h-index 12

Impact in

Papers in

Maya Unnithan

32 papers receiving 349 citations

Peers

Maya Unnithan
Comparison fields: 5 of 69
  • Gender Studies 105
  • Reproductive Medicine 60
  • Anthropology 64
  • Pediatrics, Perinatology and Child Health 83
  • Visual Arts and Performing Arts 21
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Countries citing papers authored by Maya Unnithan

Since Specialization
Citations

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

Fields of papers citing papers by Maya Unnithan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya Unnithan, 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 Maya Unnithan Line = papers co-authored together Maya Unnithan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199296
2
Women’s and Children’s Health: Evidence of Impact of Human Rights
201350
3 200936
4
REPRODUCTIVE AGENCY, MEDICINE AND THE STATE: CULTURAL TRANSFORMATIONS IN CHILDBEARING
200424
5 201416
6 200316
7
The cultural politics of reproduction : migration, health and family making
201513
8 201213
9 201013
10
Households Kinship and Access to Reproductive Healthcare among Rural Muslim Women in Jaipur
199912
11 200912
12 202111
13
Fatness and the maternal body : women's experiences of corporeality and the shaping of social policy
201110
14 201910
15 20209
16 20189
17 20178
18
Postcolonial India : history, politics and culture
20047
19 20137
20 20157

About Maya Unnithan

Maya Unnithan is a scholar working on Sociology and Political Science, Gender Studies, Political Science and International Relations, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 417 indexed citations. Recurring topics across this work include Demographic Trends and Gender Preferences (10 papers), Reproductive Health and Technologies (6 papers), Human Rights and Development (5 papers), South Asian Studies and Conflicts (5 papers), Global Maternal and Child Health (4 papers), South Asian Studies and Diaspora (3 papers), Anthropological Studies and Insights (3 papers) and Social and Economic Development in India (3 papers). The work is most often cited by research in Gender Studies (105 citations), Reproductive Medicine (60 citations), Anthropology (64 citations), Pediatrics, Perinatology and Child Health (83 citations) and Visual Arts and Performing Arts (21 citations). Maya Unnithan has collaborated with scholars based in United Kingdom, Mozambique and Spain. Frequent co-authors include Arjun Appadurai, Silvia De Zordo, Soraya Tremayne, Ben Kasstan, Vinita Damodaran, Sylvie Dubuc, Sofia Gruskin, Laura Ferguson, Emma Halliday and Alicia Ely Yamin. Their work appears in journals such as Global Public Health, Contributions to Indian Sociology, Culture Health & Sexuality, Journal of the Royal Anthropological Institute and Medical Anthropology.

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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