Nisha Padmanabhan

2.8k total citations
19 papers, 832 citations indexed

About

Nisha Padmanabhan is a scholar working on Molecular Biology, Rheumatology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Nisha Padmanabhan has authored 19 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Rheumatology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Nisha Padmanabhan's work include Epigenetics and DNA Methylation (6 papers), Folate and B Vitamins Research (5 papers) and Genetic Syndromes and Imprinting (3 papers). Nisha Padmanabhan is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Folate and B Vitamins Research (5 papers) and Genetic Syndromes and Imprinting (3 papers). Nisha Padmanabhan collaborates with scholars based in United Kingdom, Singapore and India. Nisha Padmanabhan's co-authors include Patrick Tan, Erica D. Watson, Toshikazu Ushijima, Anthony Howell, R.D. Rubens, Mark Bieda, Ernest Fung, Anne C. Ferguson‐Smith, Roy A. Gravel and Xuchu Wu and has published in prestigious journals such as Cell, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Nisha Padmanabhan

18 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nisha Padmanabhan United Kingdom 14 457 188 171 148 119 19 832
Loydie A. Jerome‐Majewska Canada 17 979 2.1× 86 0.5× 144 0.8× 71 0.5× 319 2.7× 40 1.3k
Patrizia Colapietro Italy 17 469 1.0× 164 0.9× 150 0.9× 78 0.5× 221 1.9× 35 865
Jay L. Vivian United States 20 947 2.1× 90 0.5× 141 0.8× 66 0.4× 247 2.1× 45 1.3k
Thomas F. Manganaro United States 18 741 1.6× 48 0.3× 83 0.5× 82 0.6× 285 2.4× 19 1.5k
Tamar Schneider Israel 20 1.1k 2.5× 685 3.6× 187 1.1× 111 0.8× 401 3.4× 40 1.5k
Gregory B. Vanden Heuvel United States 20 1.1k 2.4× 113 0.6× 69 0.4× 73 0.5× 470 3.9× 35 1.6k
Soazik P. Jamin France 21 1.2k 2.7× 203 1.1× 119 0.7× 175 1.2× 731 6.1× 29 2.5k
Jonathan Pearce United Kingdom 11 1.5k 3.4× 99 0.5× 105 0.6× 97 0.7× 331 2.8× 11 1.8k
Mark A. Edson United States 12 474 1.0× 75 0.4× 60 0.4× 81 0.5× 203 1.7× 17 1.1k

Countries citing papers authored by Nisha Padmanabhan

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Padmanabhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Padmanabhan

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

All Works

19 of 19 papers shown
1.
Huang, Kie Kyon, Jiawen Huang, Jeanie Wu, et al.. (2021). Long-read transcriptome sequencing reveals abundant promoter diversity in distinct molecular subtypes of gastric cancer. Genome biology. 22(1). 44–44. 50 indexed citations
2.
Padmanabhan, Nisha, Simon J. Tunster, Ben D. McNally, et al.. (2020). Mtrr hypomorphic mutation alters liver morphology, metabolism and fuel storage in mice. Molecular Genetics and Metabolism Reports. 23. 100580–100580. 11 indexed citations
3.
Sundar, Raghav, Alvin Wei Tian Ng, Hermioni Zouridis, et al.. (2019). DNA methylation signature predictive of benefit from neoadjuvant chemotherapy in esophageal adenocarcinoma: Results from the MRC OEO2 phase III trial.. Journal of Clinical Oncology. 37(4_suppl). 43–43.
4.
Subhash, Vinod Vijay, Lingzhi Wang, Win Lwin Thuya, et al.. (2018). Anti-tumor efficacy of Selinexor (KPT-330) in gastric cancer is dependent on nuclear accumulation of p53 tumor suppressor. Scientific Reports. 8(1). 12248–12248. 75 indexed citations
5.
Padmanabhan, Nisha, et al.. (2018). Abnormal folate metabolism causes age‐, sex‐ and parent‐of‐origin‐specific haematological defects in mice. The Journal of Physiology. 596(18). 4341–4360. 12 indexed citations
6.
Padmanabhan, Nisha, et al.. (2017). Multigenerational analysis of sex-specific phenotypic differences at midgestation caused by abnormal folate metabolism. Current Zoology. 3(4). dvx014–dvx014. 8 indexed citations
7.
Padmanabhan, Nisha, et al.. (2017). Dynamic expression of TET1, TET2, and TET3 dioxygenases in mouse and human placentas throughout gestation. Placenta. 59. 46–56. 16 indexed citations
8.
Padmanabhan, Nisha, Toshikazu Ushijima, & Patrick Tan. (2017). How to stomach an epigenetic insult: the gastric cancer epigenome. Nature Reviews Gastroenterology & Hepatology. 14(8). 467–478. 121 indexed citations
9.
Xie, Chen, Vinod Vijay Subhash, Arpita Datta, et al.. (2016). Melanoma associated antigen (MAGE)-A3 promotes cell proliferation and chemotherapeutic drug resistance in gastric cancer. Cellular Oncology. 39(2). 175–186. 28 indexed citations
10.
Padmanabhan, Nisha, Xuchu Wu, Anne C. Ferguson‐Smith, et al.. (2013). Mutation in Folate Metabolism Causes Epigenetic Instability and Transgenerational Effects on Development. Cell. 155(1). 81–93. 183 indexed citations
11.
Padmanabhan, Nisha & Erica D. Watson. (2013). Lessons from the one-carbon metabolism: passing it along to the next generation. Reproductive BioMedicine Online. 27(6). 637–643. 24 indexed citations
12.
Padmanabhan, Nisha, Hong‐wa Yung, Erica D. Watson, et al.. (2013). Suppression of Mitochondrial Electron Transport Chain Function in the Hypoxic Human Placenta: A Role for miRNA-210 and Protein Synthesis Inhibition. PLoS ONE. 8(1). e55194–e55194. 105 indexed citations
13.
Colleoni, F., et al.. (2011). Hypoxia induces electron transport chain dysfunction in human placental mitochondria. Placenta. 32(9). 1 indexed citations
15.
Agrawal, Neha, Nisha Padmanabhan, & Gaiti Hasan. (2009). Inositol 1,4,5- Trisphosphate Receptor Function in Drosophila Insulin Producing Cells. PLoS ONE. 4(8). e6652–e6652. 21 indexed citations
16.
Padmanabhan, Nisha & Christopher Huang. (1990). Separation of tubular electrical activity in amphibian skeletal muscle through temperature change. Experimental Physiology. 75(5). 721–724. 13 indexed citations
17.
Padmanabhan, Nisha, D.Y. Wang, John W. Moore, & R.D. Rubens. (1987). Ovarian function and adjuvant chemotherapy for early breast cancer. European Journal of Cancer and Clinical Oncology. 23(6). 745–748. 38 indexed citations
18.
Padmanabhan, Nisha, Anthony Howell, & R.D. Rubens. (1986). MECHANISM OF ACTION OF ADJUVANT CHEMOTHERAPY IN EARLY BREAST CANCER. The Lancet. 328(8504). 411–414. 65 indexed citations
19.
Padmanabhan, Nisha, Frances R. Balkwill, Walter F. Bodmer, & R.D. Rubens. (1985). Recombinant DNA human interferon alpha 2 in advanced breast cancer: A phase 2 trial. British Journal of Cancer. 51(1). 55–60. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026