Padmalaya Das

2.3k citations
46 papers · 1.8k · 1 hit paper · h-index 18

Impact in

Papers in

Padmalaya Das

43 papers receiving 1.7k citations

Padmalaya Das's Hit Papers

Low O 2 tensions and the prevention of differentiation of hES cells 2005 · 650 citations
6500+7+14Years since publication200400600

Peers

Padmalaya Das
Comparison fields: 5 of 125
  • Genetics 260
  • Cancer Research 232
  • Molecular Biology 872
  • Endocrine and Autonomic Systems 79
  • Obstetrics and Gynecology 85
Replace Catherine Moreau with:
Catherine Moreau France
Børge Teisner Denmark
Elizabeth Cho United States
Kalliopi I. Pappa Greece
Eny Maria Goloni‐Bertollo Brazil
Karen A. Westerman United States
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Marcelo Hill France
Ge Lin China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Padmalaya Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Padmalaya Das Line = papers co-authored together Padmalaya Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Low O 2 tensions and the prevention of differentiation of hES cells
Hit paper breakdown →
2005650
2 2018152
3 200899
4 200692
5 200980
6 200777
7 200775
8 200763
9 200448
10 200744
11 201741
12 200430
13 201430
14 201129
15 199627
16 200827
17 200721
18 200617
19 201314
20 201314

About Padmalaya Das

Padmalaya Das is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Hematology and Immunology, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (10 papers), Iron Metabolism and Disorders (9 papers), Malaria Research and Control (7 papers), Pluripotent Stem Cells Research (5 papers), Mosquito-borne diseases and control (5 papers), Neuropeptides and Animal Physiology (4 papers), Renal and related cancers (4 papers) and Reproductive tract infections research (4 papers). The work is most often cited by research in Genetics (260 citations), Cancer Research (232 citations), Molecular Biology (872 citations), Endocrine and Autonomic Systems (79 citations) and Obstetrics and Gynecology (85 citations). Padmalaya Das has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Toshihiko Ezashi, R. Michael Roberts, Ping Wang, Weifeng Dong, Rongqian Wu, Michael Miksa, Suzanne D. Westfall, Mian Zhou, Derek Yang and Laura C. Schulz. Their work appears in journals such as Shock, Parasitology Research, Annals of Hematology, PLoS ONE and The Journal of Antibiotics.

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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