Neha Lodha

2.7k total citations · 1 hit paper
43 papers, 2.0k citations indexed

About

Neha Lodha is a scholar working on Rehabilitation, Biomedical Engineering and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Neha Lodha has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Rehabilitation, 18 papers in Biomedical Engineering and 14 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Neha Lodha's work include Stroke Rehabilitation and Recovery (25 papers), Muscle activation and electromyography studies (16 papers) and Motor Control and Adaptation (12 papers). Neha Lodha is often cited by papers focused on Stroke Rehabilitation and Recovery (25 papers), Muscle activation and electromyography studies (16 papers) and Motor Control and Adaptation (12 papers). Neha Lodha collaborates with scholars based in United States, Australia and India. Neha Lodha's co-authors include James H. Cauraugh, Sagar K. Naik, Kimberly A. Fournier, Chris J. Hass, Stephen A. Coombes, Evangelos A. Christou, Erik A. Wikstrom, Jeffery J. Summers, Prakruti Patel and Carolynn Patten and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Neha Lodha

39 papers receiving 1.9k citations

Hit Papers

Motor Coordination in Autism Spectrum Disorders: A Synthe... 2010 2026 2015 2020 2010 250 500 750

Peers

Neha Lodha
Comparison fields: 5 of 98
  • Cognitive Neuroscience 1.2k
  • Psychiatry and Mental health 561
  • Biomedical Engineering 546
  • Rehabilitation 458
  • Developmental and Educational Psychology 399
Replace Sagar K. Naik with:
Sagar K. Naik United States
Christina Schmitz France
Patricia McKinley Canada
Shu Morioka Japan
Svend Sparre Geertsen Denmark
Carlo Trompetto Italy
Volker Mall Germany
J. Greg Anson New Zealand
A. M. Gentile United States
Luís Augusto Teixeira Brazil
Sagar K. Naik United States View profile →
Citations per field, relative to Neha Lodha
Neha Lodha · 1×
Citations per year, relative to Neha Lodha
Neha Lodha · 1×

Countries citing papers authored by Neha Lodha

Since Specialization
Citations

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

Fields of papers citing papers by Neha Lodha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Lodha

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Lodha. A scholar is included among the top collaborators of Neha Lodha 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 Lodha. Neha Lodha 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
# Work Indexed citations
1 0
2 0
3 0
4 3
5 2
6 16
7 2
8 17
9 7
10 8
11 46
12 13
13 33
14 43
15 42
16 39
17 94
18 116
19 44
20 47

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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