Padmalaya Das

2.3k total citations · 1 hit paper
46 papers, 1.8k citations indexed

About

Padmalaya Das is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Padmalaya Das has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Public Health, Environmental and Occupational Health and 11 papers in Genetics. Recurrent topics in Padmalaya Das's work include Hemoglobinopathies and Related Disorders (10 papers), Iron Metabolism and Disorders (9 papers) and Malaria Research and Control (7 papers). Padmalaya Das is often cited by papers focused on Hemoglobinopathies and Related Disorders (10 papers), Iron Metabolism and Disorders (9 papers) and Malaria Research and Control (7 papers). Padmalaya Das collaborates with scholars based in United States, India and United Kingdom. Padmalaya Das's co-authors include Toshihiko Ezashi, R. Michael Roberts, Ping Wang, Weifeng Dong, Michael Miksa, Rongqian Wu, Suzanne D. Westfall, Mian Zhou, Laura C. Schulz and Derek Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Padmalaya Das

43 papers receiving 1.7k citations

Hit Papers

Low O 2 tensions and the prevention of differentiation of... 2005 2026 2012 2019 2005 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
Padmalaya Das United States 18 872 277 260 232 195 46 1.8k
Bruno Solano de Freitas Souza Brazil 26 531 0.6× 241 0.9× 357 1.4× 188 0.8× 85 0.4× 100 1.8k
Elizabeth Cho United States 16 656 0.8× 190 0.7× 625 2.4× 142 0.6× 126 0.6× 42 2.0k
Catherine Moreau France 24 863 1.0× 135 0.5× 177 0.7× 170 0.7× 44 0.2× 35 1.8k
Eny Maria Goloni‐Bertollo Brazil 28 1.1k 1.2× 258 0.9× 126 0.5× 359 1.5× 43 0.2× 148 2.5k
Maria Tzetis Greece 30 703 0.8× 92 0.3× 402 1.5× 242 1.0× 43 0.2× 115 2.3k
Silvia Tabano Italy 25 832 1.0× 115 0.4× 188 0.7× 222 1.0× 35 0.2× 70 1.8k
Michael Schuster United States 27 1.6k 1.9× 255 0.9× 657 2.5× 223 1.0× 77 0.4× 76 3.0k
Peter Farndon United Kingdom 24 1.4k 1.6× 257 0.9× 132 0.5× 210 0.9× 31 0.2× 63 3.0k
Ge Lin China 34 1.8k 2.1× 1.2k 4.4× 120 0.5× 255 1.1× 122 0.6× 254 3.8k
Reija Autio Finland 23 1.5k 1.7× 68 0.2× 96 0.4× 241 1.0× 232 1.2× 50 2.3k

Countries citing papers authored by Padmalaya Das

Since Specialization
Citations

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

Fields of papers citing papers by Padmalaya Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padmalaya Das

This figure shows the co-authorship network connecting the top 25 collaborators of Padmalaya Das. A scholar is included among the top collaborators of Padmalaya Das 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 Padmalaya Das. Padmalaya Das 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.
Sinha, Shalini, Bimal Prasad Jit, A. Raj Kumar Patro, et al.. (2020). Influence of rs1042713 and rs1042714 polymorphisms of β2-adrenergic receptor gene with erythrocyte cAMP in sickle cell disease patients from Odisha State, India. Annals of Hematology. 99(12). 2737–2745. 1 indexed citations
2.
Patel, Siris, et al.. (2019). Association of plasma homocysteine level with vaso-occlusive crisis in sickle cell anemia patients of Odisha, India. Annals of Hematology. 98(10). 2257–2265. 12 indexed citations
4.
Jit, Bimal Prasad, Pradeep Kumar Mohanty, Siris Patel, et al.. (2018). Association of fetal hemoglobin level with frequency of acute pain episodes in sickle cell disease (HbS-only phenotype) patients. Blood Cells Molecules and Diseases. 75. 30–34. 7 indexed citations
5.
Baker, Kelly K., Bijaya Kumar Padhi, Belén Torondel, et al.. (2017). From menarche to menopause: A population-based assessment of water, sanitation, and hygiene risk factors for reproductive tract infection symptoms over life stages in rural girls and women in India. PLoS ONE. 12(12). e0188234–e0188234. 41 indexed citations
6.
Mohanty, Pradeep Kumar, et al.. (2017). Comparative study of clinical presentation and hematological indices in hospitalized sickle cell patients with severe Plasmodium falciparum malaria. Journal of Infection and Public Health. 11(3). 321–325. 11 indexed citations
7.
Das, Padmalaya, et al.. (2013). Fetal hemoglobin and alpha thalassemia modulate the phenotypic expression of HbSD‐Punjab. International Journal of Laboratory Hematology. 36(4). 444–450. 14 indexed citations
8.
Das, Padmalaya, Gabrielle M. Siegers, & Lynne‐Marie Postovit. (2013). Illuminating luminal B: QSOX1 as a subtype-specific biomarker. Breast Cancer Research. 15(3). 104–104. 14 indexed citations
9.
Quail, Daniela F., Logan A. Walsh, Padmalaya Das, et al.. (2011). Low oxygen levels induce the expression of the embryonic morphogen Nodal. Molecular Biology of the Cell. 22(24). 4809–4821. 29 indexed citations
10.
Miksa, Michael, Padmalaya Das, Mian Zhou, et al.. (2009). Pivotal Role of the α2A-Adrenoceptor in Producing Inflammation and Organ Injury in a Rat Model of Sepsis. PLoS ONE. 4(5). e5504–e5504. 80 indexed citations
11.
Westfall, Suzanne D., Shrikesh Sachdev, Padmalaya Das, et al.. (2008). Identification of Oxygen-Sensitive Transcriptional Programs in Human Embryonic Stem Cells. Stem Cells and Development. 17(5). 869–882. 99 indexed citations
12.
Das, Padmalaya, Mani Chopra, & Avadhesh C. Sharma. (2008). Upregulation of myocardial syntaxin1A is associated with an early stage of polymicrobial sepsis. Molecular and Cellular Biochemistry. 323(1-2). 61–68. 3 indexed citations
14.
Schulz, Laura C., Toshihiko Ezashi, Padmalaya Das, et al.. (2007). Human Embryonic Stem Cells as Models for Trophoblast Differentiation. Placenta. 29. 10–16. 63 indexed citations
16.
Das, Padmalaya, Toshihiko Ezashi, Laura C. Schulz, et al.. (2007). Effects of FGF2 and oxygen in the BMP4-driven differentiation of trophoblast from human embryonic stem cells. Stem Cell Research. 1(1). 61–74. 75 indexed citations
17.
Wu, Rongqian, Mian Zhou, Padmalaya Das, et al.. (2007). Ghrelin inhibits sympathetic nervous activity in sepsis. American Journal of Physiology-Endocrinology and Metabolism. 293(6). E1697–E1702. 77 indexed citations
18.
Miksa, Michael, Rongqian Wu, Weifeng Dong, et al.. (2006). DENDRITIC CELL-DERIVED EXOSOMES CONTAINING MILK FAT GLOBULE EPIDERMAL GROWTH FACTOR-FACTOR VIII ATTENUATE PROINFLAMMATORY RESPONSES IN SEPSIS. Shock. 25(6). 586–593. 92 indexed citations
19.
Zhou, Mian, Padmalaya Das, H. Hank Simms, & Ping Wang. (2004). Gut-derived norepinephrine plays an important role in up-regulating IL-1β and IL-10. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1740(3). 446–452. 30 indexed citations
20.
Cooper, Raymond, Imbi Truumees, Joseph E. Schwartz, et al.. (1990). Saramycetin, a thiazolyl peptide from a Streptomyces sp.: Chemical characterization and molecular weight determination.. The Journal of Antibiotics. 43(7). 897–900. 7 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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