Harshvardhan Rolyan

660 total citations
9 papers, 417 citations indexed

About

Harshvardhan Rolyan is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Harshvardhan Rolyan has authored 9 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Genetics. Recurrent topics in Harshvardhan Rolyan's work include Telomeres, Telomerase, and Senescence (3 papers), Mesenchymal stem cell research (2 papers) and RNA Research and Splicing (2 papers). Harshvardhan Rolyan is often cited by papers focused on Telomeres, Telomerase, and Senescence (3 papers), Mesenchymal stem cell research (2 papers) and RNA Research and Splicing (2 papers). Harshvardhan Rolyan collaborates with scholars based in Germany, United States and Netherlands. Harshvardhan Rolyan's co-authors include Ingemar S. J. Merkies, Joel A. Black, Stephen G. Waxman, Janneke G. J. Hoeijmakers, Catharina G. Faber, Shujun Liu, Giuseppe Lauria, Dietmar Rudolf Thal, K. Lenhard Rudolph and Yvonne Begus‐Nahrmann and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain.

In The Last Decade

Harshvardhan Rolyan

9 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harshvardhan Rolyan Germany 7 209 146 95 48 44 9 417
Zhiming Zhang China 9 188 0.9× 145 1.0× 103 1.1× 58 1.2× 79 1.8× 23 530
Michael D. Duffield Australia 10 226 1.1× 313 2.1× 209 2.2× 52 1.1× 30 0.7× 13 624
Vanessa Soubeyre France 9 96 0.5× 117 0.8× 116 1.2× 20 0.4× 23 0.5× 21 352
Weiguo Dong China 13 224 1.1× 142 1.0× 45 0.5× 98 2.0× 16 0.4× 21 468
Carla Montecinos-Oliva Chile 9 161 0.8× 241 1.7× 103 1.1× 30 0.6× 12 0.3× 11 451
Aiping Xing China 6 120 0.6× 130 0.9× 99 1.0× 66 1.4× 35 0.8× 6 387
Yasufumi Sakakibara Japan 12 141 0.7× 109 0.7× 111 1.2× 75 1.6× 13 0.3× 23 382
Seung‐Yong Yoon South Korea 12 100 0.5× 154 1.1× 52 0.5× 74 1.5× 10 0.2× 17 419
Narumi Hashikawa‐Hobara Japan 12 106 0.5× 142 1.0× 113 1.2× 28 0.6× 14 0.3× 32 386
Hannah J. Richter United States 7 220 1.1× 174 1.2× 78 0.8× 85 1.8× 12 0.3× 9 486

Countries citing papers authored by Harshvardhan Rolyan

Since Specialization
Citations

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

Fields of papers citing papers by Harshvardhan Rolyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harshvardhan Rolyan

This figure shows the co-authorship network connecting the top 25 collaborators of Harshvardhan Rolyan. A scholar is included among the top collaborators of Harshvardhan Rolyan 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 Harshvardhan Rolyan. Harshvardhan Rolyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Nmezi, Bruce, Laura L. Vollmer, Tong Ying Shun, et al.. (2020). Development and Optimization of a High-Content Analysis Platform to Identify Suppressors of Lamin B1 Overexpression as a Therapeutic Strategy for Autosomal Dominant Leukodystrophy. SLAS DISCOVERY. 25(8). 939–949. 4 indexed citations
2.
Srivastava, Roshni, Harshvardhan Rolyan, Yi Xie, et al.. (2018). TCF7L2 (Transcription Factor 7-Like 2) Regulation of GATA6 (GATA-Binding Protein 6)-Dependent and -Independent Vascular Smooth Muscle Cell Plasticity and Intimal Hyperplasia. Arteriosclerosis Thrombosis and Vascular Biology. 39(2). 250–262. 18 indexed citations
3.
4.
Rolyan, Harshvardhan, Yulia Y. Tyurina, Maria Hernandez, et al.. (2015). Defects of Lipid Synthesis Are Linked to the Age-Dependent Demyelination Caused by Lamin B1 Overexpression. Journal of Neuroscience. 35(34). 12002–12017. 52 indexed citations
5.
Rolyan, Harshvardhan, Annika Scheffold, Annette Heinrich, et al.. (2011). Telomere shortening reduces Alzheimer’s disease amyloid pathology in mice. Brain. 134(7). 2044–2056. 79 indexed citations
6.
Begus‐Nahrmann, Yvonne, André Lechel, Harshvardhan Rolyan, et al.. (2011). Telomere Shortening Impairs Regeneration of the Olfactory Epithelium in Response to Injury but Not Under Homeostatic Conditions. PLoS ONE. 6(11). e27801–e27801. 21 indexed citations
7.
Rolyan, Harshvardhan, Ajeet Rijal Upadhaya, Andreas Waha, et al.. (2011). Amyloid-β protein modulates the perivascular clearance of neuronal apolipoprotein E in mouse models of Alzheimer’s disease. Journal of Neural Transmission. 118(5). 699–712. 32 indexed citations
8.
Figura, Guido von, Martin Wagner, Kodandaramireddy Nalapareddy, et al.. (2011). Regeneration of the Exocrine Pancreas Is Delayed in Telomere-Dysfunctional Mice. PLoS ONE. 6(2). e17122–e17122. 12 indexed citations
9.
Arnim, Christine A. F. Von, Zhangfa Song, Cathrin Schnack, et al.. (2011). O2‐01‐04: Chitinase Enzyme Activity in Cerebral Spinal Fluid is Strongly Associated with Alzheimer's Disease. Alzheimer s & Dementia. 7(4S_Part_8). 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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