Neha Pathak

464 citations
9 papers · 308 · h-index 6

Impact in

Papers in

Neha Pathak

9 papers receiving 292 citations

Peers

Neha Pathak
Comparison fields: 5 of 81
  • Cognitive Neuroscience 205
  • Experimental and Cognitive Psychology 84
  • Endocrine and Autonomic Systems 23
  • Cellular and Molecular Neuroscience 38
  • Health, Toxicology and Mutagenesis 21
Replace Caroline Kussé with:
Caroline Kussé Belgium
Soren Wainio‐Theberge Canada
Jessica S. Flannery United States
В. Б. Дорохов Russia
Anna Bereś Poland
Pascal Pas Netherlands
Siyan Fan United States
Jia-Hou Poh Singapore
Bruno Setton Gonçalves Brazil
Elizabeth Ankudowich Canada
Neha Pathak relative to Caroline Kussé Belgium Caroline Kussé's profile →
Citations per field
00.5×1.5×1.8×
Caroline Kussé · 1×
Citations per year

Countries citing papers authored by Neha Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Neha Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Neha Pathak, 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 Neha Pathak Line = papers co-authored together Neha Pathak links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2002247
2 202118
3 201718
4 20177
5 20216
6 20225
7 20214
8 20232
9
Improving Team-Based Care Coordination Delivery and Documentation in the Health Record.
20181

About Neha Pathak

Neha Pathak is a scholar working on General Health Professions, Health, Toxicology and Mutagenesis, Ecology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 308 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (3 papers), Obesity, Physical Activity, Diet (2 papers), Agriculture Sustainability and Environmental Impact (2 papers), Primary Care and Health Outcomes (2 papers), Chronic Disease Management Strategies (2 papers), Health Policy Implementation Science (1 paper), Health and Lifestyle Studies (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cognitive Neuroscience (205 citations), Experimental and Cognitive Psychology (84 citations), Endocrine and Autonomic Systems (23 citations), Cellular and Molecular Neuroscience (38 citations) and Health, Toxicology and Mutagenesis (21 citations). Neha Pathak has collaborated with scholars based in United States and India. Frequent co-authors include Robert Stickgold, Sara C. Mednick, Ken Nakayama, José L. Cantero, Mercedes Atienza, Jeffrey L. Jackson, Evelyn T. Chang, Nancy L. Eriksen, Donna M. Zulman and Brook Watts. Their work appears in journals such as Healthcare, Nature Neuroscience, American Journal of Lifestyle Medicine, PubMed and The Journal of Climate Change and Health.

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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