Vikash Chandra

2.0k citations
28 papers · 937 · h-index 18

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Diabetes and associated disorders
  • Surgery top 10%
    • Pancreatic function and diabetes
    • Tissue Engineering and Regenerative Medicine

Papers in

Vikash Chandra

28 papers receiving 909 citations

Peers

Vikash Chandra
Comparison fields: 5 of 88
  • Genetics 187
  • Surgery 502
  • Genetics 288
  • Endocrinology, Diabetes and Metabolism 146
  • Immunology 144
Replace Sha Peng with:
Sha Peng China
Qiang Feng China
Satoshi Fujimura Japan
Weijun Guan China
Yinxiong Li China
Ana María Pino Chile
Surjya Narayan Dash India
Li Ding China
Shufa Li China
Michal Ješeta Czechia
Vikash Chandra relative to Sha Peng China Sha Peng's profile →
Citations per field
00.5×7.3×
Sha Peng · 1×
Citations per year

Countries citing papers authored by Vikash Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Vikash Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009140
2 2010118
3 2011114
4 201870
5 201458
6 200953
7 202146
8 200937
9 200937
10 202232
11 201229
12 201227
13 201425
14 202223
15 200823
16 201122
17 201622
18 201620
19 20248
20 20238

About Vikash Chandra

Vikash Chandra is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Immunology, having authored 28 papers that have together received 937 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Aquaculture disease management and microbiota (5 papers), Diabetes and associated disorders (5 papers), Diabetes Management and Research (4 papers), Diet, Metabolism, and Disease (3 papers), Virus-based gene therapy research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Genetics (187 citations), Surgery (502 citations), Genetics (288 citations), Endocrinology, Diabetes and Metabolism (146 citations) and Immunology (144 citations). Vikash Chandra has collaborated with scholars based in India, Finland and France. Frequent co-authors include Ramesh Bhonde, Ramesh Bhonde, Prabha D. Nair, Smruti M. Phadnis, Sachin Kadam, Amit Kumar Jaiswal, Jayesh Bellare, A.S. Sahul Hameed, V. Sarath Babu and V.P. Ishaq Ahmed. Their work appears in journals such as Cell Reports, Journal of Fish Diseases, Diabetologia, Journal of Fish Biology and Scientific Reports.

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