Jayati Jain

1.3k total citations · 1 hit paper
4 papers, 951 citations indexed

About

Jayati Jain is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jayati Jain has authored 4 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jayati Jain's work include Plant Molecular Biology Research (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Jayati Jain is often cited by papers focused on Plant Molecular Biology Research (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Jayati Jain collaborates with scholars based in United Kingdom, United States and Russia. Jayati Jain's co-authors include Chinweike Ukomadu, Kirsten C. Sadler, Sriharsa Pradhan, Matteo Pellegrini, Steven E. Jacobsen, Suhua Feng, Mary Goll, Shawn Cokus, Magnolia Bostick and Jonathan Hetzel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and European Archives of Psychiatry and Clinical Neuroscience.

In The Last Decade

Jayati Jain

4 papers receiving 945 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.

Conservation and divergence of methylation patterning in plants and animals

2010 914 citations Suhua Feng, Shawn Cokus et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jayati Jain United Kingdom	3	656	370	180	66	40	4	951
Fabiana Herédia Brazil	12	653 1.0×	675 1.8×	296 1.6×	56 0.8×	72 1.8×	16	1.3k
Yuanxiang Zhu China	11	888 1.4×	101 0.3×	128 0.7×	37 0.6×	43 1.1×	17	1.0k
Diane C. Shakes United States	20	936 1.4×	187 0.5×	228 1.3×	69 1.0×	34 0.8×	39	1.7k
C-ting Wu United States	10	604 0.9×	242 0.7×	217 1.2×	15 0.2×	36 0.9×	11	707
Marie Le Masson France	11	440 0.7×	317 0.9×	150 0.8×	22 0.3×	27 0.7×	16	605
Gillian M. Stanfield United States	10	722 1.1×	89 0.2×	145 0.8×	38 0.6×	23 0.6×	17	1.2k
Judith L. Yanowitz United States	21	996 1.5×	167 0.5×	231 1.3×	18 0.3×	27 0.7×	44	1.3k
Antoine Boivin France	14	573 0.9×	398 1.1×	89 0.5×	11 0.2×	13 0.3×	21	680
Julie Feusier United States	12	267 0.4×	342 0.9×	131 0.7×	10 0.2×	38 0.9×	18	558
Toshiharu Iwai Japan	14	231 0.4×	99 0.3×	197 1.1×	37 0.6×	85 2.1×	24	659

Countries citing papers authored by Jayati Jain

Since Specialization

Citations

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

Fields of papers citing papers by Jayati Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayati Jain

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

All Works

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4 of 4 papers shown

1.

Jain, Jayati, Gianluca Veggiani, & Mark Howarth. (2013). Cholesterol Loading and Ultrastable Protein Interactions Determine the Level of Tumor Marker Required for Optimal Isolation of Cancer Cells. Cancer Research. 73(7). 2310–2321. 13 indexed citations

2.

Williams, Matthew, Reginald Marsh, Jayati Jain, et al.. (2012). Neuropathological changes in the nucleus basalis in schizophrenia. European Archives of Psychiatry and Clinical Neuroscience. 263(6). 485–495. 23 indexed citations

3.

Williams, Matthew, Reginald Marsh, Jayati Jain, et al.. (2011). Examination of glial and neuronal changes in the Nucleus Basalis in schizophrenia and recurrent depression. International Clinical Psychopharmacology. 26. e68–e68. 1 indexed citations

4.

Feng, Suhua, Shawn Cokus, Xiaoyu Zhang, et al.. (2010). Conservation and divergence of methylation patterning in plants and animals. Proceedings of the National Academy of Sciences. 107(19). 8689–8694. 914 indexed citations breakdown →

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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