Scott E. Mulder

407 total citations
4 papers, 91 citations indexed

About

Scott E. Mulder is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Scott E. Mulder has authored 4 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Neurology. Recurrent topics in Scott E. Mulder's work include Cancer, Hypoxia, and Metabolism (3 papers), Neuroblastoma Research and Treatments (1 paper) and Biochemical and Molecular Research (1 paper). Scott E. Mulder is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Neuroblastoma Research and Treatments (1 paper) and Biochemical and Molecular Research (1 paper). Scott E. Mulder collaborates with scholars based in United States. Scott E. Mulder's co-authors include Surendra K. Shukla, Pankaj K. Singh, Jaime Abrego, Kuldeep S. Attri, Aneesha Dasgupta, Divya Murthy, Ryan J. King, Nina V. Chaika, Vinee Purohit and Venugopal Gunda and has published in prestigious journals such as Cancer Letters, Journal of Proteome Research and Methods in molecular biology.

In The Last Decade

Scott E. Mulder

4 papers receiving 90 citations

Peers

Scott E. Mulder
Gino Brunori United Kingdom
Sharon Adamski United States
Laura M Yerges United States
Sheng Yu United Kingdom
Katherine McKenzie United States
Scott E. Mulder
Citations per year, relative to Scott E. Mulder Scott E. Mulder (= 1×) peers Zhigang Zhao

Countries citing papers authored by Scott E. Mulder

Since Specialization
Citations

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

Fields of papers citing papers by Scott E. Mulder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott E. Mulder. 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 Scott E. Mulder. The network helps show where Scott E. Mulder may publish in the future.

Co-authorship network of co-authors of Scott E. Mulder

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

All Works

4 of 4 papers shown
1.
Mullen, Nicholas J., Ravi Thakur, Surendra K. Shukla, et al.. (2022). ENT1 blockade by CNX-774 overcomes resistance to DHODH inhibition in pancreatic cancer. Cancer Letters. 552. 215981–215981. 16 indexed citations
2.
Mulder, Scott E., Aneesha Dasgupta, Ryan J. King, et al.. (2020). JNK signaling contributes to skeletal muscle wasting and protein turnover in pancreatic cancer cachexia. Cancer Letters. 491. 70–77. 37 indexed citations
3.
Shukla, Surendra K., Scott E. Mulder, & Pankaj K. Singh. (2018). Hypoxia-Mediated In Vivo Tumor Glucose Uptake Measurement and Analysis. Methods in molecular biology. 1742. 107–113. 8 indexed citations
4.
Gebregiworgis, Teklab, Vinee Purohit, Surendra K. Shukla, et al.. (2017). Glucose Limitation Alters Glutamine Metabolism in MUC1-Overexpressing Pancreatic Cancer Cells. Journal of Proteome Research. 16(10). 3536–3546. 30 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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