D. Sharma

20 papers receiving 499 citations

Peers

D. Sharma
Comparison fields: 5 of 129
  • Rehabilitation 61
  • Endocrinology, Diabetes and Metabolism 84
  • Molecular Medicine 22
  • Clinical Psychology 65
  • Occupational Therapy 12
Replace Yu‐Chih Chen with:
Yu‐Chih Chen Taiwan
Hyun‐Jung Kim South Korea
Agnieszka Pedrycz Poland
Hongjin Li United States
Ioannis Kalemikerakis Greece
Ashwani Kumar Mishra India
Alistair Farley United Kingdom
Jingjing Huang China
Cristina Beiu Romania
D. Sharma relative to Yu‐Chih Chen Taiwan Yu‐Chih Chen's profile →
Citations per field
00.5×6.8×
Yu‐Chih Chen · 1×
Citations per year

Countries citing papers authored by D. Sharma

Since Specialization
Citations

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

Fields of papers citing papers by D. Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017219
2 2002127
3 201797
4 201824
5 201912
6
EFFECTS OF MUSCLE ENERGY TECHNIQUE ON PAIN AND DISABILITY IN SUBJECTS WITH SI JOINT DYSFUNCTION
20149
7 20188
8 20157
9 20225
10 20233
11 20243
12 20193
13 19883
14 20212
15 20172
16 20072
17 20241
18 20111
19 20141
20 20221

About D. Sharma

D. Sharma is a scholar working on Nuclear and High Energy Physics, Applied Microbiology and Biotechnology, Rehabilitation, Developmental Neuroscience and Occupational Therapy, having authored 25 papers that have together received 530 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Quantum Chromodynamics and Particle Interactions (3 papers), High-Energy Particle Collisions Research (3 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Wound Healing and Treatments (2 papers), Dark Matter and Cosmic Phenomena (2 papers), Particle Detector Development and Performance (2 papers) and Radiation Detection and Scintillator Technologies (2 papers). The work is most often cited by research in Rehabilitation (61 citations), Endocrinology, Diabetes and Metabolism (84 citations), Molecular Medicine (22 citations), Clinical Psychology (65 citations) and Occupational Therapy (12 citations). D. Sharma has collaborated with scholars based in United States, India and Malaysia. Frequent co-authors include Marvin Heyboer, Reed Larson, Suman Verma, Md. Moklesur Rahman Sarker, Syed Tabish R. Zaidi, Rahul P. Patel, Qi Ying Lean, Long Chiau Ming, Oliver Sartor and Siddhartha Sen. Their work appears in journals such as Nuclear Physics A, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Biotechnology and Applied Biochemistry, International Journal of Behavioral Development and Pharmacognosy Magazine.

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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