Pankaj Barah

1.6k total citations · 1 hit paper
34 papers, 895 citations indexed

About

Pankaj Barah is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Pankaj Barah has authored 34 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Plant Science and 5 papers in Cancer Research. Recurrent topics in Pankaj Barah's work include RNA modifications and cancer (6 papers), Plant Stress Responses and Tolerance (5 papers) and Bioinformatics and Genomic Networks (4 papers). Pankaj Barah is often cited by papers focused on RNA modifications and cancer (6 papers), Plant Stress Responses and Tolerance (5 papers) and Bioinformatics and Genomic Networks (4 papers). Pankaj Barah collaborates with scholars based in India, Norway and Denmark. Pankaj Barah's co-authors include Atle M. Bones, John Mundy, Henrik Bjørn Nielsen, Simon Rasmussen, Paolo Costantino, Simon Bressendorff, Naresh Doni Jayavelu, Dhruba K. Bhattacharyya, Ramanathan Sowdhamini and Jugal Kalita and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Pankaj Barah

30 papers receiving 881 citations

Hit Papers

Transcriptome Responses t... 2013 2026 2017 2021 2013 100 200 300
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. Transcriptome Responses to Combinations of Stresses in Arabidopsis  
    2013 387 citations Pankaj Barah, Atle M. Bones et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankaj Barah India 13 592 483 70 46 36 34 895
Katrien Van Der Kelen Belgium 15 1.1k 1.8× 785 1.6× 38 0.5× 51 1.1× 15 0.4× 19 1.4k
Bidisha Chanda United States 14 837 1.4× 375 0.8× 66 0.9× 28 0.6× 43 1.2× 24 993
Liu Duan China 13 796 1.3× 486 1.0× 21 0.3× 55 1.2× 26 0.7× 29 1.1k
Pulugurtha Bharadwaja Kirti India 20 696 1.2× 745 1.5× 33 0.5× 28 0.6× 28 0.8× 39 1.0k
Kedong Xu China 15 641 1.1× 509 1.1× 37 0.5× 26 0.6× 17 0.5× 58 856
Lun Liu China 18 752 1.3× 667 1.4× 55 0.8× 66 1.4× 92 2.6× 51 1.1k
Zeyu Xin China 18 628 1.1× 290 0.6× 22 0.3× 62 1.3× 31 0.9× 24 771
Ying‐Gao Liu China 15 831 1.4× 459 1.0× 22 0.3× 38 0.8× 27 0.8× 38 1.1k
Simon Bressendorff Denmark 15 821 1.4× 695 1.4× 21 0.3× 63 1.4× 57 1.6× 21 1.3k

Countries citing papers authored by Pankaj Barah

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Barah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Barah

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Barah. A scholar is included among the top collaborators of Pankaj Barah 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 Pankaj Barah. Pankaj Barah 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.
Sarma, Anupam, Gayatri Gogoi, Subhash Khanna, et al.. (2025). Gallstone Physicochemical Properties and Heavy Metal Concentrations Associated with Gallbladder Carcinogenesis in Assam, India. Chemical Research in Toxicology. 38(4). 598–608. 1 indexed citations
2.
Barah, Pankaj, et al.. (2025). Beyond the Gut: Integrating Oral Microbiota into the Microbiota–Brain Axis in Depression. Molecular Neurobiology. 63(1). 207–207.
3.
4.
Bhattacharyya, Dhruba K., et al.. (2024). Integrative ceRNA network analysis identifies unique and shared molecular signatures in Bipolar Disorder and Schizophrenia. Journal of Psychiatric Research. 176. 47–57. 1 indexed citations
5.
Bhattacharyya, Dhruba K., et al.. (2024). ETENLNC: An end to end lncRNA identification and analysis framework to facilitate construction of known and novel lncRNA regulatory networks. Computational Biology and Chemistry. 112. 108140–108140. 2 indexed citations
6.
Kashyap, Anurag, et al.. (2022). “KRiShI”: a manually curated knowledgebase on rice sheath blight disease. Functional & Integrative Genomics. 22(6). 1403–1410. 1 indexed citations
7.
8.
Barah, Pankaj, et al.. (2022). Transcriptomic data of MCF-7 breast cancer cells treated with G1, a G-protein coupled estrogen receptor (GPER) agonist. Data in Brief. 41. 107948–107948. 2 indexed citations
9.
Mandal, Susmita, et al.. (2021). An Integrative Systems Biology Approach Identifies Molecular Signatures Associated with Gallbladder Cancer Pathogenesis. Journal of Clinical Medicine. 10(16). 3520–3520. 3 indexed citations
10.
Barah, Pankaj, et al.. (2020). Temperature differentially modulates the transcriptome response in Oryza sativa to Xanthomonas oryzae pv. oryzae infection. Genomics. 112(6). 4842–4852. 12 indexed citations
11.
Bhattacharyya, Dhruba K., et al.. (2019). Comparison of Methods for Differential Co-expression Analysis for Disease Biomarker Prediction. Computers in Biology and Medicine. 113. 103380–103380. 58 indexed citations
12.
Bhattacharyya, Dhruba K., et al.. (2019). Integrative network analysis identifies differential regulation of neuroimmune system in Schizophrenia and Bipolar disorder. Brain Behavior & Immunity - Health. 2. 100023–100023. 8 indexed citations
13.
Singh, Archana, et al.. (2018). Arginylation regulates adipogenesis by regulating expression of PPARγ at transcript and protein level. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1864(4). 596–607. 10 indexed citations
14.
Barah, Pankaj, Mahantesha B.N. Naika, Naresh Doni Jayavelu, et al.. (2015). Transcriptional regulatory networks inArabidopsis thalianaduring single and combined stresses. Nucleic Acids Research. 44(7). 3147–3164. 59 indexed citations
15.
Barah, Pankaj & Atle M. Bones. (2014). Multidimensional approaches for studying plant defence against insects: from ecology to omics and synthetic biology. Journal of Experimental Botany. 66(2). 479–493. 57 indexed citations
16.
Barah, Pankaj, Per Winge, Anna Kuśnierczyk, Diem Hong Tran, & Atle M. Bones. (2013). Molecular Signatures in Arabidopsis thaliana in Response to Insect Attack and Bacterial Infection. PLoS ONE. 8(3). e58987–e58987. 56 indexed citations
17.
Barah, Pankaj, Naresh Doni Jayavelu, John Mundy, & Atle M. Bones. (2013). Genome scale transcriptional response diversity among ten ecotypes of Arabidopsis thaliana during heat stress. Frontiers in Plant Science. 4. 532–532. 35 indexed citations
18.
Rohloff, Jens, Pankaj Barah, & Atle M. Bones. (2012). Improving crop productivity and abiotic stress tolerance in cultivated Fragaria. 1 indexed citations
19.
Sandhya, Sankaran, et al.. (2009). Length Variations amongst Protein Domain Superfamilies and Consequences on Structure and Function. PLoS ONE. 4(3). e4981–e4981. 37 indexed citations
20.

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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