Bam Paneru

680 total citations
11 papers, 481 citations indexed

About

Bam Paneru is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Bam Paneru has authored 11 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Bam Paneru's work include Cancer-related molecular mechanisms research (4 papers), Genomics and Phylogenetic Studies (4 papers) and Aquaculture disease management and microbiota (3 papers). Bam Paneru is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Genomics and Phylogenetic Studies (4 papers) and Aquaculture disease management and microbiota (3 papers). Bam Paneru collaborates with scholars based in United States. Bam Paneru's co-authors include Mohamed Salem, Rafet Al-Tobasei, Montserrat C. Anguera, Yniv Palti, Gregory D. Wiens, Jianbo Yao, Michael L. Atchison, Edward M. Behrens, Vishal Sindhava and Camille M. Syrett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Bam Paneru

11 papers receiving 479 citations

Peers

Bam Paneru

IMMUN

CR

MB

GENET

RHEUM

Birkir Þór Bragason Iceland

Bárbara Castellana Spain

Sheng-Yao Su Taiwan

Min-Min Hua China

Alexander Fehr Switzerland

Mara Lennard Richard United States

Yoichi Sutoh Japan

Jun Xia China

Jiřı́ Nehyba United States

Rocío Simón Spain

Birkir Þór Bragason Iceland

Bam Paneru

164 ×0.7

IMMUN

58 ×0.3

CR

146 ×0.7

MB

39 ×0.4

GENET

15 ×0.3

RHEUM

Citations per year, relative to Bam Paneru Bam Paneru (= 1×) peers Birkir Þór Bragason

Countries citing papers authored by Bam Paneru

Since Specialization

Citations

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

Fields of papers citing papers by Bam Paneru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bam Paneru

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

All Works

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11 of 11 papers shown

1.

Paneru, Bam, Julia Chini, Sam J. McCright, et al.. (2024). Myeloid-derived miR-6236 potentiates adipocyte insulin signaling and prevents hyperglycemia during obesity. Nature Communications. 15(1). 5394–5394. 7 indexed citations

2.

Paneru, Bam & David A. Hill. (2023). The role of extracellular vesicle-derived miRNAs in adipose tissue function and metabolic health. PubMed. 5(3). e00027–e00027. 3 indexed citations

3.

Paneru, Bam, Emily Baumrin, Amy Forrestel, et al.. (2022). Altered adipose tissue macrophage populations in people with HIV on integrase inhibitor-containing antiretroviral therapy. AIDS. 36(11). 1493–1500. 8 indexed citations

4.

Pyfrom, Sarah, Bam Paneru, James J. Knox, et al.. (2021). The dynamic epigenetic regulation of the inactive X chromosome in healthy human B cells is dysregulated in lupus patients. Proceedings of the National Academy of Sciences. 118(24). 70 indexed citations

5.

Syrett, Camille M., Bam Paneru, Sarmistha Banerjee, et al.. (2019). Altered X-chromosome inactivation in T cells may promote sex-biased autoimmune diseases. JCI Insight. 4(7). 118 indexed citations

6.

Paneru, Bam, Ali Ali, Rafet Al-Tobasei, Brett Kenney, & Mohamed Salem. (2018). Crosstalk among lncRNAs, microRNAs and mRNAs in the muscle ‘degradome’ of rainbow trout. Scientific Reports. 8(1). 35 indexed citations

7.

Paneru, Bam, Rafet Al-Tobasei, Brett Kenney, Timothy D. Leeds, & Mohamed Salem. (2017). RNA-Seq reveals MicroRNA expression signature and genetic polymorphism associated with growth and muscle quality traits in rainbow trout. Scientific Reports. 7(1). 9078–9078. 15 indexed citations

8.

Paneru, Bam, Rafet Al-Tobasei, Yniv Palti, Gregory D. Wiens, & Mohamed Salem. (2016). Differential expression of long non-coding RNAs in three genetic lines of rainbow trout in response to infection with Flavobacterium psychrophilum. Scientific Reports. 6(1). 36032–36032. 52 indexed citations

9.

Al-Tobasei, Rafet, Bam Paneru, & Mohamed Salem. (2016). Genome-Wide Discovery of Long Non-Coding RNAs in Rainbow Trout. PLoS ONE. 11(2). e0148940–e0148940. 71 indexed citations

10.

Marancik, David, Guangtu Gao, Bam Paneru, et al.. (2015). Whole-body transcriptome of selectively bred, resistant-, control-, and susceptible-line rainbow trout following experimental challenge with Flavobacterium psychrophilum. Frontiers in Genetics. 5. 453–453. 62 indexed citations

11.

Salem, Mohamed, Bam Paneru, Rafet Al-Tobasei, et al.. (2015). Transcriptome Assembly, Gene Annotation and Tissue Gene Expression Atlas of the Rainbow Trout. PLoS ONE. 10(3). e0121778–e0121778. 40 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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