R Swain

2.7k total citations · 1 hit paper
79 papers, 2.0k citations indexed

About

R Swain is a scholar working on Ecology, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, R Swain has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ecology, 25 papers in Molecular Biology and 14 papers in Global and Planetary Change. Recurrent topics in R Swain's work include Amphibian and Reptile Biology (10 papers), Wnt/β-catenin signaling in development and cancer (8 papers) and Aquatic Invertebrate Ecology and Behavior (7 papers). R Swain is often cited by papers focused on Amphibian and Reptile Biology (10 papers), Wnt/β-catenin signaling in development and cancer (8 papers) and Aquatic Invertebrate Ecology and Behavior (7 papers). R Swain collaborates with scholars based in Australia, India and United Kingdom. R Swain's co-authors include Herbert Steinbeißer, Araceli Medina, Rudolf Winklbauer, Alastair Greystoke, Tim Ward, Cong Zhou, Lynsey Priest, Fiona Blackhall, Alison Backen and Lee Lancashire and has published in prestigious journals such as Nature, Journal of Clinical Oncology and The EMBO Journal.

In The Last Decade

R Swain

76 papers receiving 1.9k citations

Hit Papers

Clinical Significance and Molecular Characteristics of Ci... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Swain Australia 19 716 653 415 337 237 79 2.0k
Jun Yamamoto Japan 30 590 0.8× 345 0.5× 261 0.6× 225 0.7× 71 0.3× 171 2.7k
Shigeharu Kinoshita Japan 24 1.3k 1.9× 352 0.5× 440 1.1× 429 1.3× 260 1.1× 105 3.1k
Cheryl A. Dean Canada 18 810 1.1× 754 1.2× 563 1.4× 342 1.0× 63 0.3× 37 1.9k
Sergey I. Nikolaev Switzerland 25 1.7k 2.3× 373 0.6× 394 0.9× 559 1.7× 118 0.5× 53 2.4k
Stephen R. Fairclough United States 14 977 1.4× 380 0.6× 596 1.4× 186 0.6× 164 0.7× 30 1.8k
A. Athanasiadis Greece 27 1.6k 2.2× 530 0.8× 177 0.4× 178 0.5× 103 0.4× 90 2.9k
Noriyuki Takai Japan 32 1.6k 2.3× 765 1.2× 291 0.7× 535 1.6× 384 1.6× 130 3.5k
Simone Seiter Germany 24 1.3k 1.8× 1.1k 1.7× 207 0.5× 164 0.5× 557 2.4× 36 2.7k
Zhiqiang Han China 23 1.1k 1.6× 470 0.7× 178 0.4× 330 1.0× 151 0.6× 166 2.2k
Alboukadel Kassambara France 25 1.0k 1.5× 439 0.7× 257 0.6× 148 0.4× 91 0.4× 51 2.2k

Countries citing papers authored by R Swain

Since Specialization
Citations

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

Fields of papers citing papers by R Swain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Swain

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

All Works

20 of 20 papers shown
1.
Rath, Rachna, et al.. (2025). NEK9-mediated Wnt signalling repressor TLE3 rewires Docetaxel resistance in cancer cells by inducing pyroptosis. British Journal of Cancer. 133(10). 1428–1440.
3.
Thakur, Abhishek, Orlando Acevedo, R Swain, et al.. (2023). SELEX based aptamers with diagnostic and entry inhibitor therapeutic potential for SARS-CoV-2. Scientific Reports. 13(1). 14560–14560. 7 indexed citations
4.
Mohapatra, Priyanka, et al.. (2023). Nimbolide-based nanomedicine inhibits breast cancer stem-like cells by epigenetic reprogramming of DNMTs-SFRP1-Wnt/β-catenin signaling axis. Molecular Therapy — Nucleic Acids. 34. 102031–102031. 6 indexed citations
5.
Shriwas, Omprakash, Rachna Rath, Mahesh Sultania, et al.. (2022). CRISPR-based kinome-screening revealed MINK1 as a druggable player to rewire 5FU-resistance in OSCC through AKT/MDM2/p53 axis. Oncogene. 41(45). 4929–4940. 13 indexed citations
6.
Prasad, Punit, et al.. (2022). Underlying Co-Morbidity Reveals Unique Immune Signatures in Type II Diabetes Patients Infected With SARS-CoV2. Frontiers in Immunology. 13. 848335–848335. 2 indexed citations
7.
Barman, Hirak Kumar, et al.. (2021). Genomic organization and hypoxia inducible factor responsive regulation of teleost hsp90β gene during hypoxia stress. Molecular Biology Reports. 48(9). 6491–6501. 1 indexed citations
8.
Swain, R, et al.. (2021). Methods to generate and evaluate zebrafish models of human kidney diseases. The International Journal of Developmental Biology. 65(7-8-9). 475–485. 9 indexed citations
9.
Dixit, Anshuman, et al.. (2021). Expression of two uncharacterized protein coding genes in zebrafish lateral line system. The International Journal of Developmental Biology. 65(10-11-12). 563–570.
10.
Kolapalli, Srinivasa Prasad, Nishant Ranjan Chauhan, Kautilya Kumar Jena, et al.. (2020). RNA-Binding RING E3-Ligase DZIP3/hRUL138 Stabilizes Cyclin D1 to Drive Cell-Cycle and Cancer Progression. Cancer Research. 81(2). 315–331. 21 indexed citations
11.
Patra, Chinmoy, et al.. (2018). EF-hand domain containing 2 (Efhc2) is crucial for distal segmentation of pronephros in zebrafish. Cell & Bioscience. 8(1). 53–53. 4 indexed citations
12.
Swain, R, et al.. (2016). Nucleolar protein 4-like has a complex expression pattern in zebrafish embryos. The International Journal of Developmental Biology. 60(1-2-3). 53–56. 6 indexed citations
13.
Swain, R, et al.. (2014). Some Aspects of the Rheological Behaviour of Coal Water Slurries. International Journal of Thermal and Environmental Engineering. 8(2). 2 indexed citations
14.
Kaufmann, Lilian, et al.. (2013). A secreted splice variant of the Xenopus frizzled-4 receptor is a biphasic modulator of Wnt signalling. Cell Communication and Signaling. 11(1). 89–89. 13 indexed citations
15.
Mura, Mauro Dalla, R Swain, Xiaodong Zhuang, et al.. (2011). Identification and angiogenic role of the novel tumor endothelial marker CLEC14A. Oncogene. 31(3). 293–305. 86 indexed citations
16.
Steinbeißer, Herbert & R Swain. (2008). Wnt-Frizzled Interactions in Xenopus. Methods in molecular biology. 469. 451–463. 1 indexed citations
17.
Swain, R, Masaru Katoh, Araceli Medina, & Herbert Steinbeißer. (2005). Xenopus frizzled-4S, a splicing variant of Xfz4 is a context-dependent activator and inhibitor of Wnt/β-catenin signaling. Cell Communication and Signaling. 3(1). 12–12. 21 indexed citations
18.
Winklbauer, Rudolf, Araceli Medina, R Swain, & Herbert Steinbeißer. (2001). Frizzled-7 signalling controls tissue separation during Xenopus gastrulation. Nature. 413(6858). 856–860. 218 indexed citations
19.
Chester, Edwin T., et al.. (2000). Brood plate morphology and its implications for brooding in an ecological series of talitrid amphipods. Polskie Archiwum Hydrobiologii. 47. 1 indexed citations
20.
Ralhan, Ranju, et al.. (1999). P-glycoprotein is positively correlated with p53 in human oral pre-malignant and malignant lesions and is associated with poor prognosis. International Journal of Cancer. 84(1). 80–85. 20 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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