Suneel Kumar

2.1k citations
96 papers · 1.4k · 1 hit paper · h-index 19

Impact in

Papers in

Suneel Kumar

84 papers receiving 1.4k citations

Hit Papers

Trends in mesenchymal stem cell clinical trials 2004-2018: Is efficacy optimal in a narrow dose range? 2019 · 319 citations
3190+2+4Years since publication100200300

Peers

Suneel Kumar
Comparison fields: 5 of 128
  • Rehabilitation 211
  • Genetics 267
  • Drug Discovery 3
  • Biomaterials 150
  • Cancer Research 132
Replace Akane Tanaka with:
Akane Tanaka Japan
Huang Fang China
Abbas Piryaei Iran
Zhaoqiang Zhang China
Yongzhe Che China
Taihao Quan United States
Satoshi Amano Japan
Kien Hui Chua Malaysia
Qian Hou China
Suneel Kumar relative to Akane Tanaka Japan Akane Tanaka's profile →
Citations per field
00.5×3.7×
Akane Tanaka · 1×
Citations per year

Countries citing papers authored by Suneel Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Suneel Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Trends in mesenchymal stem cell clinical trials 2004-2018: Is efficacy optimal in a narrow dose range?
Hit paper breakdown →
2019319
2 201996
3 202156
4 202253
5 202152
6 201548
7 202341
8 202435
9 201931
10 202130
11 201627
12 201226
13 202025
14 202324
15 202123
16 202021
17 202019
18 201619
19 201719
20 202518

About Suneel Kumar

Suneel Kumar is a scholar working on Plant Science, Pathology and Forensic Medicine, Rehabilitation, Genetics and Occupational Therapy, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (16 papers), Wound Healing and Treatments (15 papers), Wheat and Barley Genetics and Pathology (11 papers), Pressure Ulcer Prevention and Management (8 papers), Genetics and Plant Breeding (8 papers), Rice Cultivation and Yield Improvement (7 papers), Mesenchymal stem cell research (6 papers) and Transcranial Magnetic Stimulation Studies (6 papers). The work is most often cited by research in Rehabilitation (211 citations), Genetics (267 citations), Drug Discovery (3 citations), Biomaterials (150 citations) and Cancer Research (132 citations). Suneel Kumar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Maciej Kabat, Martin Grumet, François Berthiaume, Suman Jain, Rashmi Mathur, Martin L. Yarmush, Uttam Kumar, Arun Kumar Joshi, Sundeep Kumar and Ramesh Chand. Their work appears in journals such as Journal of the American College of Cardiology, Biomedicines, Frontiers in Genetics, Antioxidants and Journal of Visualized Experiments.

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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