Alan Pourpak

913 citations
11 papers · 536 · h-index 9

Impact in

    • DNA and Nucleic Acid Chemistry
    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer

Papers in

    • Cancer therapeutics and mechanisms 2
    • RNA Interference and Gene Delivery 2
    • Chemical Synthesis and Analysis 2
    • Synthetic Organic Chemistry Methods 2

Alan Pourpak

11 papers receiving 533 citations

Peers

Alan Pourpak
Comparison fields: 5 of 65
  • Molecular Biology 438
  • Toxicology 10
  • Endocrinology, Diabetes and Metabolism 36
  • Oncology 52
  • Organic Chemistry 61
Replace Nagarajan Chandramouli with:
Nagarajan Chandramouli United States
Ute Dechert Canada
Mutsumi Okamura Japan
Franck Augé France
Lynn Wood United Kingdom
Laura Caboni Ireland
Mark A. Bobko United States
Mary K. Joseph United States
Kelie Reece United States
Natasha Zarich Spain
Alan Pourpak relative to Nagarajan Chandramouli United States Nagarajan Chandramouli's profile →
Citations per field
00.5×7.6×
Nagarajan Chandramouli · 1×
Citations per year

Countries citing papers authored by Alan Pourpak

Since Specialization
Citations

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

Fields of papers citing papers by Alan Pourpak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alan Pourpak, 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 Alan Pourpak Line = papers co-authored together Alan Pourpak links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2007230
2 2009106
3 200956
4 200852
5 201119
6 200918
7 200717
8 200714
9 200611
10 20178
11 20065

About Alan Pourpak

Alan Pourpak is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Oncology and Hematology, having authored 11 papers that have together received 536 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), Synthetic Organic Chemistry Methods (2 papers), Marine Sponges and Natural Products (2 papers), Chemical Synthesis and Analysis (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Acute Myeloid Leukemia Research (1 paper) and Chemotherapy-induced organ toxicity mitigation (1 paper). The work is most often cited by research in Molecular Biology (438 citations), Toxicology (10 citations), Endocrinology, Diabetes and Metabolism (36 citations), Oncology (52 citations) and Organic Chemistry (61 citations). Alan Pourpak has collaborated with scholars based in United States and China. Frequent co-authors include Stephan W. Morris, Vijay Gokhale, Kexiao Guo, Laurence H. Hurley, Daekyu Sun, Rongshi Li, Thomas R. Webb, Xiaoli Cui, Chandraiah Lagisetti and Robert T. Dorr. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical Pharmacology, Investigational New Drugs, MedChemComm and Anti-Cancer Drugs.

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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