Padma Das

958 total citations
21 papers, 713 citations indexed

About

Padma Das is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Padma Das has authored 21 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Padma Das's work include Natural product bioactivities and synthesis (3 papers), Autophagy in Disease and Therapy (3 papers) and Andrographolide Research and Applications (2 papers). Padma Das is often cited by papers focused on Natural product bioactivities and synthesis (3 papers), Autophagy in Disease and Therapy (3 papers) and Andrographolide Research and Applications (2 papers). Padma Das collaborates with scholars based in India, United Kingdom and United States. Padma Das's co-authors include Chinmay Chowdhury, Deepak Kumar, Biswajit Chakraborty, Mitali Chatterjee, Rupashree Sen, Belén Torondel, Sunita Sahoo, Kelly K. Baker, Pinaki Panigrahi and Sandy Cairncross and has published in prestigious journals such as PLoS ONE, International Journal of Cancer and Cancer Letters.

In The Last Decade

Padma Das

20 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Padma Das India 11 294 197 102 75 65 21 713
Parveen Kaur Singapore 12 265 0.9× 105 0.5× 48 0.5× 82 1.1× 21 0.3× 34 640
Hyojung Lee South Korea 20 146 0.5× 224 1.1× 74 0.7× 60 0.8× 24 0.4× 60 1.1k
Shanshan Huo China 15 98 0.3× 220 1.1× 83 0.8× 46 0.6× 53 0.8× 47 966
Gabriela Delgado Colombia 14 267 0.9× 156 0.8× 91 0.9× 39 0.5× 13 0.2× 58 641
Mohammed Alaidarous Saudi Arabia 16 109 0.4× 204 1.0× 149 1.5× 32 0.4× 24 0.4× 52 738
Qiyan Chen China 12 123 0.4× 188 1.0× 87 0.9× 26 0.3× 22 0.3× 40 735
Donatella Lippi Italy 13 101 0.3× 379 1.9× 41 0.4× 77 1.0× 42 0.6× 110 1.2k
Sandhya Singh India 16 72 0.2× 265 1.3× 51 0.5× 71 0.9× 28 0.4× 34 839
Agnès Aubouy France 18 534 1.8× 133 0.7× 78 0.8× 27 0.4× 14 0.2× 46 843
Yangmu Huang China 16 140 0.5× 255 1.3× 117 1.1× 20 0.3× 26 0.4× 68 1.0k

Countries citing papers authored by Padma Das

Since Specialization
Citations

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

Fields of papers citing papers by Padma Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padma Das

This figure shows the co-authorship network connecting the top 25 collaborators of Padma Das. A scholar is included among the top collaborators of Padma 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 Padma Das. Padma 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.
Das, Padma, et al.. (2024). Rise in the Pathogenic Status of Coagulase-Negative Staphylococci Causing Bloodstream Infection. Cureus. 16(3). e57250–e57250. 3 indexed citations
2.
Bhargava, Anudita, et al.. (2022). A retrospective observational insight into COVID-19 exposures resulting from personal protective equipment (PPE) breaches. PLoS ONE. 17(5). e0268582–e0268582. 3 indexed citations
3.
Garg, Rahul, et al.. (2022). 357. Risk Factors and Antifungal Susceptibility Pattern of Candida parapsilosis Candidemia: A Single centre Observation study from Central India.. Open Forum Infectious Diseases. 9(Supplement_2). 1 indexed citations
4.
5.
Negi, Sanjay Singh, et al.. (2019). Diagnostic Evaluation of Multiplex Real Time PCR, GeneXpert MTB/RIF Assay and Conventional Methods in Extrapulmonary Tuberculosis. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 3 indexed citations
6.
Dutta, Debasmita, Biswajit Chakraborty, Ankita Sarkar, Chinmay Chowdhury, & Padma Das. (2016). A potent betulinic acid analogue ascertains an antagonistic mechanism between autophagy and proteasomal degradation pathway in HT-29 cells. BMC Cancer. 16(1). 23–23. 33 indexed citations
7.
Kumar, Deepak, Rupashree Sen, Alak Manna, et al.. (2015). Andrographolide Analogue Induces Apoptosis and Autophagy Mediated Cell Death in U937 Cells by Inhibition of PI3K/Akt/mTOR Pathway. PLoS ONE. 10(10). e0139657–e0139657. 60 indexed citations
8.
Chakraborty, Biswajit, et al.. (2015). Synthesis and biological evaluation of a novel betulinic acid derivative as an inducer of apoptosis in human colon carcinoma cells (HT-29). European Journal of Medicinal Chemistry. 102. 93–105. 75 indexed citations
9.
Das, Padma, Kelly K. Baker, Ambarish Dutta, et al.. (2015). Menstrual Hygiene Practices, WASH Access and the Risk of Urogenital Infection in Women from Odisha, India. PLoS ONE. 10(6). e0130777–e0130777. 274 indexed citations
10.
Dutta, Debasmita, Ankita Sarkar, Biswajit Chakraborty, Chinmay Chowdhury, & Padma Das. (2015). Induction of apoptosis by a potent Betulinic acid derivative in Human colon carcinoma HT-29 cells. 2 indexed citations
11.
Nanda, Rachita, et al.. (2014). Breast milk: immunosurveillance in infancy. Asian Pacific Journal of Tropical Disease. 4. S505–S512. 2 indexed citations
12.
Kumar, Deepak, et al.. (2013). Apoptotic and Autophagic Effects of Sesbania grandiflora Flowers in Human Leukemic Cells. PLoS ONE. 8(8). e71672–e71672. 25 indexed citations
13.
Manna, Alak, Piu Saha, Avijit Sarkar, et al.. (2012). Malabaricone-A Induces A Redox Imbalance That Mediates Apoptosis in U937 Cell Line. PLoS ONE. 7(5). e36938–e36938. 39 indexed citations
14.
Kumar, Deepak, et al.. (2011). Regioselective one pot synthesis of 3,3′-diindolylethylene derivatives and study of their cytotoxic activity. Bioorganic & Medicinal Chemistry Letters. 21(10). 3084–3087. 7 indexed citations
15.
Chowdhury, Chinmay, et al.. (2010). Synthesis, cytotoxicity, and structure–activity relationship (SAR) studies of andrographolide analogues as anti-cancer agent. Bioorganic & Medicinal Chemistry Letters. 20(23). 6947–6950. 53 indexed citations
16.
Sarkar, Avijit, Piu Saha, Goutam Mandal, et al.. (2010). Monitoring of intracellular nitric oxide in leishmaniasis: Its applicability in patients with visceral leishmaniasis. Cytometry Part A. 79A(1). 35–45. 42 indexed citations
17.
Saha, Piu, et al.. (2009). Berberine chloride causes a caspase-independent, apoptotic-like death inLeishmania donovanipromastigotes. Free Radical Research. 43(11). 1101–1110. 36 indexed citations
18.
Das, Padma, et al.. (1999). Vitamin E-deficiency induced changes in ovary and uterus. Molecular and Cellular Biochemistry. 198(1-2). 151–156. 23 indexed citations
19.
Das, Padma, et al.. (1993). Influence of ascorbic acid on MCA-induced carcinogenesis in the uterine cervix of mice. Cancer Letters. 72(1-2). 121–125. 6 indexed citations
20.
Rao, A.R. & Padma Das. (1989). Evaluation of the carcinogenicity of different preparations of areca nut in mice. International Journal of Cancer. 43(4). 728–732. 25 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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