Pamela Das

1.7k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Pamela Das is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Pamela Das has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Pamela Das's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Cell death mechanisms and regulation (2 papers). Pamela Das is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Cell death mechanisms and regulation (2 papers). Pamela Das collaborates with scholars based in United Kingdom, United States and Italy. Pamela Das's co-authors include Barbara Marte, Anne J. Ridley, Asim Khwaja, Patricia H. Warne, Michael D. Waterfield, Julian Downward, Pablo Rodriguez‐Viciana, Darryl Pappin, Yupo Ma and L. Jeffrey Medeiros and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Pamela Das

6 papers receiving 1.4k citations

Hit Papers

Role of Phosphoinositide 3-OH Kinase in Cell Transformati... 1997 2026 2006 2016 1997 250 500 750

Peers

Pamela Das
Comparison fields: 5 of 90
  • Molecular Biology 1.0k
  • Oncology 414
  • Cell Biology 264
  • Pathology and Forensic Medicine 175
  • Immunology 150
Replace Sudhir B. Kondapaka with:
Sudhir B. Kondapaka United States
Susan Giblett United Kingdom
Joseph L.‐K. Chan United States
Bo Cen United States
Yunchao Chang United States
Kerstin Maaser Germany
Françoise Révillion France
Amjad H. Talukder United States
Daniel L. Altschuler United States
Kristin Roovers United States
Sudhir B. Kondapaka United States View profile →
Citations per field, relative to Pamela Das
Pamela Das · 1×
Citations per year, relative to Pamela Das
Pamela Das · 1×

Countries citing papers authored by Pamela Das

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Das

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 117
2 138
3 104
4 43
5
Role of Phosphoinositide 3-OH Kinase in Cell Transformation and Control of the Actin Cytoskeleton by Ras breakdown →
930
6 81

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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2026