Bibaswan Ghoshal

843 total citations · 1 hit paper
7 papers, 509 citations indexed

About

Bibaswan Ghoshal is a scholar working on Molecular Biology, Agronomy and Crop Science and Nephrology. According to data from OpenAlex, Bibaswan Ghoshal has authored 7 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Agronomy and Crop Science and 1 paper in Nephrology. Recurrent topics in Bibaswan Ghoshal's work include Ruminant Nutrition and Digestive Physiology (3 papers), Single-cell and spatial transcriptomics (2 papers) and Gut microbiota and health (2 papers). Bibaswan Ghoshal is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (3 papers), Single-cell and spatial transcriptomics (2 papers) and Gut microbiota and health (2 papers). Bibaswan Ghoshal collaborates with scholars based in Canada and United States. Bibaswan Ghoshal's co-authors include Daniel Trcka, Jeffrey L. Wrana, Jessica Gosio, Arshad Ayyaz, Jess Shen, Seda Barutcu, Kin Chan, Bruno Sangiorgi, Alex Gregorieff and Sandeep Kumar and has published in prestigious journals such as Nature, Human Molecular Genetics and Journal of Dairy Science.

In The Last Decade

Bibaswan Ghoshal

7 papers receiving 504 citations

Hit Papers

align trajectories

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.

Single-cell transcriptomes of the regenerating intestine reveal a revival stem cell

2019 322 citations Arshad Ayyaz, Sandeep Kumar et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bibaswan Ghoshal Canada	7	248	164	87	64	53	7	509
Kerri Dawson Canada	7	512 2.1×	93 0.6×	109 1.3×	70 1.1×	54 1.0×	8	872
Olivier Latchoumanin Australia	13	340 1.4×	90 0.5×	62 0.7×	30 0.5×	60 1.1×	15	633
Han Yang China	17	511 2.1×	109 0.7×	99 1.1×	38 0.6×	30 0.6×	43	852
Ramesh C. Kovi United States	11	365 1.5×	131 0.8×	107 1.2×	27 0.4×	56 1.1×	38	641
Pedro M. Aponte Ecuador	13	428 1.7×	164 1.0×	323 3.7×	27 0.4×	89 1.7×	24	1.0k
Cristiano Corona Italy	17	638 2.6×	79 0.5×	46 0.5×	44 0.7×	14 0.3×	38	923
Mònica Dı́az Spain	15	243 1.0×	33 0.2×	57 0.7×	99 1.5×	94 1.8×	22	607
Enrica Roncaglia Italy	14	463 1.9×	60 0.4×	90 1.0×	31 0.5×	61 1.2×	23	817
Maria Strazzullo Italy	19	596 2.4×	166 1.0×	241 2.8×	53 0.8×	26 0.5×	42	905
Jonathan C. Dunne New Zealand	13	234 0.9×	64 0.4×	20 0.2×	48 0.8×	58 1.1×	17	400

Countries citing papers authored by Bibaswan Ghoshal

Since Specialization

Citations

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

Fields of papers citing papers by Bibaswan Ghoshal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bibaswan Ghoshal

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

All Works

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7 of 7 papers shown

1.

Ayyaz, Arshad, Elisabeth G. Foerster, Daniel Trcka, et al.. (2022). A single cell survey of the microbial impacts on the mouse small intestinal epithelium. Gut Microbes. 14(1). 2108281–2108281. 18 indexed citations

2.

Zhou, Mi, Bibaswan Ghoshal, Paul Stothard, & Le Luo Guan. (2021). Distinctive roles between rumen epimural and content bacterial communities on beef cattle feed efficiency: A combined analysis. Current Research in Microbial Sciences. 2. 100085–100085. 10 indexed citations

3.

Gosio, Jessica, Bibaswan Ghoshal, Alesya Evstratova, et al.. (2020). Robust production of uniform human cerebral organoids from pluripotent stem cells. Life Science Alliance. 3(5). e202000707–e202000707. 53 indexed citations

4.

Ayyaz, Arshad, Sandeep Kumar, Bruno Sangiorgi, et al.. (2019). Single-cell transcriptomes of the regenerating intestine reveal a revival stem cell. Nature. 569(7754). 121–125. 322 indexed citations breakdown →

5.

Neves, A. L. A., Fuyong Li, Bibaswan Ghoshal, Tim A. McAllister, & Le Luo Guan. (2017). Enhancing the Resolution of Rumen Microbial Classification from Metatranscriptomic Data Using Kraken and Mothur. Frontiers in Microbiology. 8. 2445–2445. 40 indexed citations

6.

Li, Fuyong, A. L. A. Neves, Bibaswan Ghoshal, & Le Luo Guan. (2017). Symposium review: Mining metagenomic and metatranscriptomic data for clues about microbial metabolic functions in ruminants. Journal of Dairy Science. 101(6). 5605–5618. 29 indexed citations

7.

Maulik, Mahua, Bibaswan Ghoshal, John Kim, et al.. (2012). Mutant human APP exacerbates pathology in a mouse model of NPC and its reversal by a β-cyclodextrin. Human Molecular Genetics. 21(22). 4857–4875. 37 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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