Neha Khandpur

7.0k citations
108 papers · 4.6k indexed · 4 hit papers · h-index 32

Neha Khandpur

103 papers receiving 4.4k citations

Hit Papers

Ultra-processed foods: what they are and how to identify ...2019202620212023201920232024202450010001.5k

Peers

Neha Khandpur
Comparison fields: 5 of 133
  • Public Health, Environmental and Occupational Health 3.6k
  • Food Science 596
  • Genetics 464
  • Clinical Psychology 398
  • Nutrition and Dietetics 396
Replace Fernanda Rauber with:
Fernanda Rauber Brazil
Eurídice Martínez Steele Brazil
Larissa Galastri Baraldi Brazil
Jean‐Claude Moubarac Canada
Maria Laura da Costa Louzada Brazil
Carmen Piernas United Kingdom
Daniela Silva Canella Brazil
Ana Paula Bortoletto Martins Brazil
Sandrine Péneau France
Jimmy Chun Yu Louie Australia
Neha Khandpur relative to Fernanda Rauber Brazil Fernanda Rauber's profile →
Citations per field
00.5×1.5×2.2×
Fernanda Rauber · 1×
Citations per year

Countries citing papers authored by Neha Khandpur

Since Specialization
Citations

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

Fields of papers citing papers by Neha Khandpur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Khandpur

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Khandpur. A scholar is included among the top collaborators of Neha Khandpur 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 Neha Khandpur. Neha Khandpur 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 0
2 5
3 6
4 1
5 1
6 0
7 3
8 16
9 0
10 5
11 5
12 1
13 3
14 70
15 6
16
Ultra-Processed Food Consumption and Risk of Type 2 Diabetes: Three Large Prospective U.S. Cohort Studiesbreakdown →
117
17 90
18 59
19 4
20
Differences in consumption of food items between obese and normal-weight people in India.
12

About Neha Khandpur

Neha Khandpur is a scholar working on Public Health, Environmental and Occupational Health, Marketing and Food Science, having authored 108 papers that have together received 4.6k indexed citations. Recurring topics across this work include Consumer Attitudes and Food Labeling (79 papers), Nutritional Studies and Diet (56 papers) and Obesity, Physical Activity, Diet (51 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (3.6k citations), Food Science (596 citations) and Marketing (282 citations). Neha Khandpur has collaborated with scholars based in Brazil, United States and Netherlands. Frequent co-authors include Carlos Augusto Monteiro, Eurídice Martínez Steele, Patrícia Constante Jaime, Maria Laura da Costa Louzada, Gustavo Cediel, Renata Bertazzi Levy, Daniela Neri, Jean‐Claude Moubarac, Fernanda Rauber and Larissa Galastri Baraldi. Their work appears in journals such as The Lancet, Circulation and Gastroenterology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026