Pujan Joshi

905 total citations · 1 hit paper
27 papers, 553 citations indexed

About

Pujan Joshi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Pujan Joshi has authored 27 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Pujan Joshi's work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (7 papers) and Epigenetics and DNA Methylation (6 papers). Pujan Joshi is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (7 papers) and Epigenetics and DNA Methylation (6 papers). Pujan Joshi collaborates with scholars based in United States, South Korea and Croatia. Pujan Joshi's co-authors include Dong‐Guk Shin, Ivo Kalajzić, Brya G. Matthews, Hrvoje Roguljić, Seung-Hyun Hong, Danka Grčević, Douglas J. Adams, Liping Wang, Yusuke Hagiwara and Linda D. Strausbaugh and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Pujan Joshi

24 papers receiving 544 citations

Hit Papers

Chemotherapy-induced oral mucositis is associated with de... 2019 2026 2021 2023 2019 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chemotherapy-induced oral mucositis is associated with detrimental bacterial dysbiosis
    2019 185 citations Bo‐Young Hong, Takanori Sobue et al. Microbiome profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pujan Joshi United States 9 269 133 95 76 74 27 553
Ilda Patrícia Ribeiro Portugal 16 369 1.4× 95 0.7× 160 1.7× 32 0.4× 78 1.1× 46 760
Sang Hyuk Lee South Korea 19 241 0.9× 160 1.2× 186 2.0× 50 0.7× 56 0.8× 64 725
Christopher DiPalma United States 7 158 0.6× 217 1.6× 173 1.8× 164 2.2× 94 1.3× 9 811
Bingqi Li China 15 289 1.1× 41 0.3× 144 1.5× 39 0.5× 34 0.5× 38 548
Susan Rudy United States 8 266 1.0× 118 0.9× 277 2.9× 15 0.2× 148 2.0× 11 775
Esra Güzel Türkiye 13 445 1.7× 74 0.6× 86 0.9× 45 0.6× 13 0.2× 33 660
Chi‐Sheng Wu Taiwan 12 287 1.1× 43 0.3× 70 0.7× 49 0.6× 11 0.1× 25 461
S.-H. Park South Korea 12 223 0.8× 65 0.5× 74 0.8× 28 0.4× 11 0.1× 32 792
Manoj Bhaskaran United States 13 265 1.0× 239 1.8× 44 0.5× 22 0.3× 14 0.2× 21 657
Juan Lorente Spain 14 211 0.8× 165 1.2× 142 1.5× 71 0.9× 57 0.8× 47 643

Countries citing papers authored by Pujan Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Pujan Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pujan Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Pujan Joshi. A scholar is included among the top collaborators of Pujan Joshi 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 Pujan Joshi. Pujan Joshi 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.
Enkhmandakh, Badam, Pujan Joshi, Paul Robson, et al.. (2023). Single-cell Transcriptome Landscape of DNA Methylome Regulators Associated with Orofacial Clefts in the Mouse Dental Pulp. The Cleft Palate-Craniofacial Journal. 61(9). 1480–1492. 1 indexed citations
2.
Guzzo, Rosa M., Badam Enkhmandakh, Pujan Joshi, et al.. (2022). Single-cell transcriptomics defines Dot1L interacting partners and downstream target genes in the mouse molar dental pulp. The International Journal of Developmental Biology. 66(7-8-9). 391–400.
3.
4.
Joshi, Pujan, Anushree Vijaykumar, Badam Enkhmandakh, et al.. (2022). The chromatin accessibility landscape in the dental pulp of mouse molars and incisors. Acta Biochimica Polonica. 69(1). 131–138. 2 indexed citations
5.
Enkhmandakh, Badam, Paul Robson, Pujan Joshi, et al.. (2022). Single-Cell Transcriptome Analysis Defines Expression of Kabuki Syndrome-Associated KMT2D Targets and Interacting Partners. Stem Cells International. 2022. 1–9. 2 indexed citations
6.
Joshi, Pujan, et al.. (2021). rPAC: Route based pathway analysis for cohorts of gene expression data sets. Methods. 198. 76–87. 8 indexed citations
7.
Joshi, Pujan, et al.. (2021). Identification of Crosstalk between Biological Pathway Routes in Cancer Cohorts. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 513. 245–248. 1 indexed citations
8.
9.
Bae, Minkyung, Yoojin Lee, Young‐Ki Park, et al.. (2019). Astaxanthin attenuates the increase in mitochondrial respiration during the activation of hepatic stellate cells. The Journal of Nutritional Biochemistry. 71. 82–89. 33 indexed citations
10.
Hong, Bo‐Young, Takanori Sobue, Linda Choquette, et al.. (2019). Chemotherapy-induced oral mucositis is associated with detrimental bacterial dysbiosis. Microbiome. 7(1). 66–66. 185 indexed citations breakdown →
11.
Lam, Y. W., Pujan Joshi, Seung-Hyun Hong, et al.. (2019). BioTarget: A Computational Framework Identifying Cancer Type Specific Transcriptional Targets of Immune Response Pathways. Scientific Reports. 9(1). 9029–9029. 10 indexed citations
12.
13.
Joshi, Pujan, et al.. (2017). A route-based pathway analysis framework integrating mutation information and gene expression data. Methods. 124. 3–12. 14 indexed citations
14.
Joshi, Pujan, et al.. (2016). Deep pathway analysis incorporating mutation information and gene expression data. 260–265. 3 indexed citations
15.
Matthews, Brya G., Hrvoje Roguljić, Tiziana Franceschetti, et al.. (2015). Gene‐expression analysis of cementoblasts and osteoblasts. Journal of Periodontal Research. 51(3). 304–312. 27 indexed citations
16.
Lieberman, Richard, Henry R. Kranzler, Pujan Joshi, Dong‐Guk Shin, & Jonathan Covault. (2015). GABRA2Alcohol Dependence Risk Allele is Associated with Reduced Expression of Chromosome 4p12 GABAASubunit Genes in Human Neural Cultures. Alcoholism Clinical and Experimental Research. 39(9). 1654–1664. 27 indexed citations
17.
18.
Makeyev, Aleksandr V., Badam Enkhmandakh, Seung-Hyun Hong, et al.. (2012). Diversity and Complexity in Chromatin Recognition by TFII-I Transcription Factors in Pluripotent Embryonic Stem Cells and Embryonic Tissues. PLoS ONE. 7(9). e44443–e44443. 19 indexed citations
19.
Shin, Dong-Ju, et al.. (2012). Genome-wide analysis of FoxO1 binding in hepatic chromatin: Potential involvement of FoxO1 in linking retinoid signaling to hepatic gluconeogenesis. Nucleic Acids Research. 40(22). 11499–11509. 61 indexed citations
20.
Shin, Dong‐Guk, Seung-Hyun Hong, Pujan Joshi, et al.. (2009). PBC: A Software Framework Facilitating Pattern-Based Clustering for Microarray Data Analysis. 22. 30–36. 6 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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