Piyush Gampawar

694 total citations
8 papers, 194 citations indexed

About

Piyush Gampawar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Piyush Gampawar has authored 8 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Physiology. Recurrent topics in Piyush Gampawar's work include Epigenetics and DNA Methylation (2 papers), Connective tissue disorders research (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Piyush Gampawar is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Connective tissue disorders research (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Piyush Gampawar collaborates with scholars based in Austria, United Kingdom and Germany. Piyush Gampawar's co-authors include Helena Schmidt, Reinhold Schmidt, Jennifer Biggs, Timothy J. Aitman, Ruwan Weerakkody, Jana Vandrovcová, David Ross, Kornélia Tripolszki, Márta Széll and József I. Engelhardt and has published in prestigious journals such as Ageing Research Reviews, Genetics in Medicine and Frontiers in Psychiatry.

In The Last Decade

Piyush Gampawar

7 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Piyush Gampawar Austria	6	74	52	47	35	25	8	194
Carlos E. Speck‐Martins Brazil	11	58 0.8×	137 2.6×	33 0.7×	25 0.7×	27 1.1×	23	314
Haktan Bağış Erdem Türkiye	9	53 0.7×	68 1.3×	15 0.3×	19 0.5×	5 0.2×	34	161
Priscilla R. Prestes Australia	10	56 0.8×	201 3.9×	10 0.2×	86 2.5×	38 1.5×	22	363
Anna Marcé‐Grau Spain	10	48 0.6×	139 2.7×	16 0.3×	20 0.6×	77 3.1×	19	284
Thomas Venables United States	7	37 0.5×	69 1.3×	12 0.3×	26 0.7×	18 0.7×	13	301
Silvio Ferraris Italy	12	42 0.6×	262 5.0×	16 0.3×	43 1.2×	15 0.6×	12	370
Anna Norberg Sweden	9	30 0.4×	123 2.4×	25 0.5×	116 3.3×	5 0.2×	16	274
Amanda F. Marvelle United States	7	126 1.7×	87 1.7×	5 0.1×	25 0.7×	38 1.5×	7	270
Judith López‐Fernández Spain	10	47 0.6×	82 1.6×	5 0.1×	71 2.0×	9 0.4×	15	309
Ewa Goljan Saudi Arabia	7	81 1.1×	90 1.7×	9 0.2×	11 0.3×	10 0.4×	9	218

Countries citing papers authored by Piyush Gampawar

Since Specialization

Citations

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

Fields of papers citing papers by Piyush Gampawar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piyush Gampawar

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Gampawar, Piyush, et al.. (2025). Analysis of Epigenome-Wide Association Studies. Methods in molecular biology. 2885. 717–725.

Gampawar, Piyush, et al.. (2025). Epigenetic age acceleration is related to cognitive decline in the elderly: Results of the Austrian Stroke Prevention Study. Psychiatry and Clinical Neurosciences. 79(5). 229–238. 5 indexed citations

Gampawar, Piyush, Reinhold Schmidt, & Helena Schmidt. (2022). Telomere length and brain aging: A systematic review and meta-analysis. Ageing Research Reviews. 80. 101679–101679. 34 indexed citations

Gampawar, Piyush, Reinhold Schmidt, & Helena Schmidt. (2020). Leukocyte Telomere Length Is Related to Brain Parenchymal Fraction and Attention/Speed in the Elderly: Results of the Austrian Stroke Prevention Study. Frontiers in Psychiatry. 11. 100–100. 24 indexed citations

Gampawar, Piyush, Yasaman Saba, Ulrike Werner, et al.. (2019). Evaluation of the Performance of AmpliSeq and SureSelect Exome Sequencing Libraries for Ion Proton. Frontiers in Genetics. 10. 856–856. 8 indexed citations

Tripolszki, Kornélia, Piyush Gampawar, Helena Schmidt, et al.. (2019). Comprehensive Genetic Analysis of a Hungarian Amyotrophic Lateral Sclerosis Cohort. Frontiers in Genetics. 10. 732–732. 29 indexed citations

Weerakkody, Ruwan, David Ross, David Parry, et al.. (2018). Targeted genetic analysis in a large cohort of familial and sporadic cases of aneurysm or dissection of the thoracic aorta. Genetics in Medicine. 20(11). 1414–1422. 49 indexed citations

Weerakkody, Ruwan, Jana Vandrovcová, Michael Mueller, et al.. (2016). Targeted next-generation sequencing makes new molecular diagnoses and expands genotype–phenotype relationship in Ehlers–Danlos syndrome. Genetics in Medicine. 18(11). 1119–1127. 45 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.

Explore authors with similar magnitude of impact