Vikash Chandra

2.0k total citations
28 papers, 937 citations indexed

About

Vikash Chandra is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Vikash Chandra has authored 28 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 12 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Vikash Chandra's work include Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (5 papers) and Aquaculture disease management and microbiota (5 papers). Vikash Chandra is often cited by papers focused on Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (5 papers) and Aquaculture disease management and microbiota (5 papers). Vikash Chandra collaborates with scholars based in India, Finland and France. Vikash Chandra's 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 and has published in prestigious journals such as Nature Communications, PLoS ONE and Diabetes.

In The Last Decade

Vikash Chandra

28 papers receiving 909 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vikash Chandra India 18 502 367 288 187 146 28 937
Satoshi Fujimura Japan 17 309 0.6× 451 1.2× 245 0.9× 120 0.6× 246 1.7× 46 974
Ana María Pino Chile 15 135 0.3× 564 1.5× 137 0.5× 274 1.5× 97 0.7× 49 1.4k
Sha Peng China 22 225 0.4× 719 2.0× 186 0.6× 142 0.8× 20 0.1× 58 1.4k
Marzia Scarfò Italy 12 286 0.6× 625 1.7× 103 0.4× 79 0.4× 72 0.5× 18 893
Silvia Pellegrini Italy 19 518 1.0× 294 0.8× 312 1.1× 31 0.2× 264 1.8× 44 869
Weijun Guan China 18 142 0.3× 399 1.1× 268 0.9× 85 0.5× 34 0.2× 70 878
S. M. Thyssen Argentina 12 545 1.1× 355 1.0× 256 0.9× 184 1.0× 300 2.1× 18 1.1k
Shufa Li China 13 207 0.4× 372 1.0× 72 0.3× 234 1.3× 160 1.1× 41 841
Qiang Feng China 15 119 0.2× 379 1.0× 75 0.3× 85 0.5× 49 0.3× 30 764
May Chung Canada 19 416 0.8× 390 1.1× 115 0.4× 47 0.3× 19 0.1× 32 1.2k

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-authorship network of co-authors of Vikash Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of Vikash Chandra. A scholar is included among the top collaborators of Vikash Chandra 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 Vikash Chandra. Vikash Chandra 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
1.
Saarimäki‐Vire, Jonna, Pekka Ahonen, Xiaonan Liu, et al.. (2024). A splice site variant in MADD affects hormone expression in pancreatic β cells and pituitary gonadotropes. JCI Insight. 9(10). 1 indexed citations
2.
Ibrahim, Hazem, Diego Balboa, Jonna Saarimäki‐Vire, et al.. (2024). RFX6 haploinsufficiency predisposes to diabetes through impaired beta cell function. Diabetologia. 67(8). 1642–1662. 8 indexed citations
3.
Barsby, Tom, Jarkko Ustinov, Hossam Montaser, et al.. (2023). Aberrant metabolite trafficking and fuel sensitivity in human pluripotent stem cell-derived islets. Cell Reports. 42(8). 112970–112970. 8 indexed citations
4.
Chandra, Vikash, Hazem Ibrahim, Rashmi B. Prasad, et al.. (2022). The type 1 diabetes gene TYK2 regulates β-cell development and its responses to interferon-α. Nature Communications. 13(1). 6363–6363. 32 indexed citations
5.
Barsby, Tom, Hazem Ibrahim, Väinö Lithovius, et al.. (2022). Differentiating functional human islet-like aggregates from pluripotent stem cells. STAR Protocols. 3(4). 101711–101711. 23 indexed citations
6.
Montaser, Hossam, Kashyap Patel, Diego Balboa, et al.. (2021). Loss of MANF Causes Childhood-Onset Syndromic Diabetes Due to Increased Endoplasmic Reticulum Stress. Diabetes. 70(4). 1006–1018. 46 indexed citations
7.
Kumar, Devendra, et al.. (2020). Effect of heat treatments on antioxidant properties and insulin content of camel milk. Journal of Camel Practice and Research. 27(1). 105–105. 3 indexed citations
8.
Asplund, Olof, Petter Storm, Vikash Chandra, et al.. (2020). Islet Gene View - A Tool to Facilitate Islet Research. SSRN Electronic Journal. 5 indexed citations
9.
Hakonen, Elina, Vikash Chandra, Christopher L. Fogarty, et al.. (2018). MANF protects human pancreatic beta cells against stress-induced cell death. Diabetologia. 61(10). 2202–2214. 70 indexed citations
10.
Chandra, Vikash, Angeliki Karamitri, Paul Richards, et al.. (2016). Extracellular acidification stimulates GPR68 mediated IL-8 production in human pancreatic β cells. Scientific Reports. 6(1). 25765–25765. 20 indexed citations
11.
Chandra, Vikash, Olivier Albagli, Benoît Hastoy, et al.. (2014). RFX6 Regulates Insulin Secretion by Modulating Ca2+ Homeostasis in Human β Cells. Cell Reports. 9(6). 2206–2218. 58 indexed citations
12.
Chandra, Vikash, et al.. (2014). Pro-oxidant/antioxidant balance controls pancreatic β-cell differentiation through the ERK1/2 pathway. Cell Death and Disease. 5(10). e1487–e1487. 25 indexed citations
13.
Kumari, Shweta, et al.. (2014). Effect of combination of different hormones on Micro propagation of Mentha sps.. 3(10). 837–844. 1 indexed citations
14.
Babu, V. Sarath, Vikash Chandra, K.S.N. Nambi, et al.. (2012). Development and characterization of novel cell lines from Etroplus suratensis and their applications in virology, toxicology and gene expression. Journal of Fish Biology. 80(2). 312–334. 29 indexed citations
15.
Chandra, Vikash, et al.. (2011). Islet-Like Cell Aggregates Generated from Human Adipose Tissue Derived Stem Cells Ameliorate Experimental Diabetes in Mice. PLoS ONE. 6(6). e20615–e20615. 114 indexed citations
16.
Kadam, Sachin, et al.. (2010). Human breast milk is a rich source of multipotent mesenchymal stem cells. Human Cell. 23(2). 35–40. 118 indexed citations
17.
Chandra, Vikash, et al.. (2009). Glomerular parietal epithelial cells of adult murine kidney undergo EMT to generate cells with traits of renal progenitors. Journal of Cellular and Molecular Medicine. 15(2). 396–413. 53 indexed citations
18.
Ahmed, V.P. Ishaq, Vikash Chandra, R. Sudhakaran, et al.. (2009). Development and characterization of cell lines derived from rohu, Labeo rohita (Hamilton), and catla, Catla catla (Hamilton). Journal of Fish Diseases. 32(3). 211–218. 37 indexed citations
19.
Chandra, Vikash, et al.. (2009). Generation of Pancreatic Hormone-Expressing Islet-Like Cell Aggregates from Murine Adipose Tissue-Derived Stem Cells. Stem Cells. 27(8). 1941–1953. 140 indexed citations
20.
Chandra, Vikash, et al.. (1985). Water spinach - its varieties and cultivation.. 30(2). 23–24. 1 indexed citations

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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