Prisni Rath

603 total citations
9 papers, 137 citations indexed

About

Prisni Rath is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Prisni Rath has authored 9 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Prisni Rath's work include Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Prisni Rath is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Prisni Rath collaborates with scholars based in Switzerland, Canada and India. Prisni Rath's co-authors include M.S. Kanungo, Michael Baudis, Haoyang Cai, Ni Ai, Roman Muff, Walter Born, Bruno Fuchs, Knut Husmann, Nitin Kumar and Alberto J. León and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Prisni Rath

8 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prisni Rath Switzerland	7	99	52	37	25	16	9	137
Richard W. Park United States	4	88 0.9×	80 1.5×	66 1.8×	18 0.7×	21 1.3×	5	161
Roser Pujol Spain	7	154 1.6×	36 0.7×	73 2.0×	29 1.2×	12 0.8×	9	188
Oscar Pellón-Cárdenas United States	9	78 0.8×	39 0.8×	26 0.7×	41 1.6×	32 2.0×	9	139
Laura Benedetta Amato Italy	7	110 1.1×	61 1.2×	21 0.6×	18 0.7×	16 1.0×	10	149
Ananya Acharya Switzerland	7	214 2.2×	27 0.5×	32 0.9×	34 1.4×	16 1.0×	10	235
Jonathan Beesley Australia	5	70 0.7×	42 0.8×	76 2.1×	18 0.7×	25 1.6×	12	141
Veronica Saenz-Vash Switzerland	5	181 1.8×	28 0.5×	27 0.7×	27 1.1×	8 0.5×	5	223
Irati Macaya Spain	6	75 0.8×	20 0.4×	23 0.6×	30 1.2×	13 0.8×	7	132
Noémie Braekeveldt Sweden	5	96 1.0×	100 1.9×	25 0.7×	66 2.6×	7 0.4×	5	200
Michael Birrer United States	5	101 1.0×	26 0.5×	17 0.5×	65 2.6×	14 0.9×	9	159

Countries citing papers authored by Prisni Rath

Since Specialization

Citations

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

Fields of papers citing papers by Prisni Rath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prisni Rath

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Rath, Prisni, R. Vijay Krishna, & Aravind Menon. (2025). Cross Sectional Analysis of U1RNP Positive Mixed Connective Tissue Disease ILD – A Single Center Experience. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A1846–A1846.

2.

Xia, Daniel, Alberto J. León, Michael Cabanero, et al.. (2020). Minimalist approaches to cancer tissue-of-origin classification by DNA methylation. Modern Pathology. 33(10). 1874–1888. 22 indexed citations

3.

Madariaga, Ainhoa, Swati Garg, Jeffrey P. Bruce, et al.. (2020). Biomarkers of outcome to weekly paclitaxel in epithelial ovarian cancer. Gynecologic Oncology. 159(2). 539–545. 6 indexed citations

4.

Weberpals, Johanne I., Trevor J. Pugh, Glenwood D. Goss, et al.. (2018). Tumor molecular profiling to differentiate extreme responses to first-line platinum-based chemotherapy in suboptimally debulked serous ovarian cancer patients.. Journal of Clinical Oncology. 36(15_suppl). 5561–5561. 2 indexed citations

5.

Muff, Roman, Prisni Rath, Knut Husmann, et al.. (2015). Genomic Instability of Osteosarcoma Cell Lines in Culture: Impact on the Prediction of Metastasis Relevant Genes. PLoS ONE. 10(5). e0125611–e0125611. 32 indexed citations

6.

Cai, Haoyang, et al.. (2014). arrayMap 2014: an updated cancer genome resource. Nucleic Acids Research. 43(D1). D825–D830. 13 indexed citations

7.

Cai, Haoyang, et al.. (2013). Progenetix: 12 years of oncogenomic data curation. Nucleic Acids Research. 42(D1). D1055–D1062. 26 indexed citations

8.

Rath, Prisni & M.S. Kanungo. (1989). Methylation of repetitive DNA sequences in the brain during aging of the rat. FEBS Letters. 244(1). 193–198. 27 indexed citations

9.

Rath, Prisni & M.S. Kanungo. (1988). Age-related changes in the expression of cytochrome P-450 (b+e) gene in the rat after phenobarbitone administration. Biochemical and Biophysical Research Communications. 157(3). 1403–1409. 9 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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