Payal Jain

141 total papers · 2.1k total citations
23 papers, 474 citations indexed

About

Payal Jain is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Payal Jain has authored 23 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Payal Jain's work include Epigenetics and DNA Methylation (4 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer-related gene regulation (3 papers). Payal Jain is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer-related gene regulation (3 papers). Payal Jain collaborates with scholars based in United States, Spain and India. Payal Jain's co-authors include Ekta Walia, Adam Resnick, Luciano Di Croce, Angela J. Waanders, Phillip B. Storm, Harry J. Han, Debu Tripathy, Jessica Foster, Katalin Karikó and Norbert Pardi and has published in prestigious journals such as Cancer Research, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Payal Jain

22 papers receiving 446 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Payal Jain	229	98	78	77	61	23	474
Shalini Verma	168 0.7×	205 2.1×	43 0.6×	42 0.5×	29 0.5×	25	471
Stephen Marcus	145 0.6×	88 0.9×	15 0.2×	93 1.2×	67 1.1×	33	523
Jayne Curry	291 1.3×	110 1.1×	50 0.6×	45 0.6×	11 0.2×	15	489
Pedro Marques Ramos	251 1.1×	158 1.6×	19 0.2×	61 0.8×	28 0.5×	18	551
Ivo Shterev	129 0.6×	120 1.2×	85 1.1×	83 1.1×	20 0.3×	26	512
Takashi Baba	138 0.6×	71 0.7×	14 0.2×	40 0.5×	32 0.5×	35	435
Yun Gao	152 0.7×	64 0.7×	15 0.2×	115 1.5×	51 0.8×	33	499
S. Kataoka	235 1.0×	59 0.6×	18 0.2×	37 0.5×	39 0.6×	28	480
Xuelu Li	103 0.4×	182 1.9×	84 1.1×	55 0.7×	18 0.3×	35	453
Xuguo Sun	249 1.1×	37 0.4×	53 0.7×	60 0.8×	38 0.6×	35	465

Countries citing papers authored by Payal Jain

Since Specialization

Citations

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

Fields of papers citing papers by Payal Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Payal Jain. A scholar is included among the top collaborators of Payal 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 Payal Jain. Payal 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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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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