Jack London

2.4k total citations · 1 hit paper
68 papers, 1.7k citations indexed

About

Jack London is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Materials Chemistry. According to data from OpenAlex, Jack London has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Materials Chemistry. Recurrent topics in Jack London's work include Amino Acid Enzymes and Metabolism (7 papers), Enzyme Structure and Function (6 papers) and Metabolism and Genetic Disorders (5 papers). Jack London is often cited by papers focused on Amino Acid Enzymes and Metabolism (7 papers), Enzyme Structure and Function (6 papers) and Metabolism and Genetic Disorders (5 papers). Jack London collaborates with scholars based in United States, United Kingdom and Italy. Jack London's co-authors include Matvey B. Palchuk, Christopher McNair, Elnara Fazio‐Eynullayeva, Peter Sankey, S Z Hausman, C. Thompson, Brecht Claerhout, Jessamine Winer‐Jones, David Pérez-Rey and John L. Esposito and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and American Sociological Review.

In The Last Decade

Jack London

61 papers receiving 1.5k citations

Hit Papers

A global federated real-world data and analytics platform... 2023 2026 2024 2025 2023 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A global federated real-world data and analytics platform for research
    2023 264 citations Matvey B. Palchuk, Jack London et al. JAMIA Open profile →

Peers

Jack London
V P Butler United States
Y.-J. Lee South Korea
Mark J. Rice United States
Jaehee Lee South Korea
Hongli Yang China
Xiaoman Wang China
Junru Chen China
Jonathan M. Miller United States
Zhen Zhou China
V P Butler United States
Jack London
Citations per year, relative to Jack London Jack London (= 1×) peers V P Butler

Countries citing papers authored by Jack London

Since Specialization
Citations

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

Fields of papers citing papers by Jack London

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack London

This figure shows the co-authorship network connecting the top 25 collaborators of Jack London. A scholar is included among the top collaborators of Jack London 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 Jack London. Jack London 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.
Haider, Syed Ali, César Cabello, Jack London, et al.. (2025). The Development and Evaluation of a Retrieval-Augmented Generation Large Language Model Virtual Assistant for Postoperative Instructions. Bioengineering. 12(11). 1219–1219.
2.
London, Jack, et al.. (2023). The Detection of Date Shifting in Real-World Data. Applied Clinical Informatics. 14(4). 763–771. 2 indexed citations
3.
O’Rourke, Julia A., Zuzanna Drebert, C. Thompson, et al.. (2023). Exploring Breast Cancer Systemic Drug Therapy Patterns in Real-World Data. JCO Clinical Cancer Informatics. 7(7). e2300061–e2300061. 1 indexed citations
4.
Palchuk, Matvey B., Jack London, David Pérez-Rey, et al.. (2023). A global federated real-world data and analytics platform for research. JAMIA Open. 6(2). ooad035–ooad035. 264 indexed citations breakdown →
5.
Evans, Laura, Jack London, & Matvey B. Palchuk. (2021). Assessing real-world medication data completeness. Journal of Biomedical Informatics. 119. 103847–103847. 24 indexed citations
6.
London, Jack, et al.. (2020). Abstract PO-040: The Effects of the COVID-19 pandemic on cancer patient encounters. Clinical Cancer Research. 26(18_Supplement). PO–40. 1 indexed citations
7.
London, Jack, et al.. (2013). Design-phase prediction of potential cancer clinical trial accrual success using a research data mart. Journal of the American Medical Informatics Association. 20(e2). e260–e266. 14 indexed citations
8.
London, Jack. (1999). Valley of the Moon.
9.
London, Jack, et al.. (1997). The Implementation of Telemedicine within a Community Cancer Network. Journal of the American Medical Informatics Association. 4(1). 18–24. 9 indexed citations
10.
London, Jack, et al.. (1992). A network scanner image management station. Journal of Digital Imaging. 5(1). 7–13. 1 indexed citations
11.
London, Jack, et al.. (1991). The use of X-terminals as clinical workstations. Journal of Medical Systems. 15(1). 3–9. 3 indexed citations
12.
London, Jack, et al.. (1985). BER volume 75 issue 1 Cover, Front matter and Errata. Bulletin of Entomological Research. 75(1). f1–f10. 1 indexed citations
13.
London, Jack. (1985). A Computer Solution to Clinical and Research Computing Needs. PubMed Central. 722–726. 1 indexed citations
14.
London, Jack, S Z Hausman, & John F. Thompson. (1985). Characterization of a membrane-regulated sugar phosphate phosphohydrolase from Lactobacillus casei. Journal of Bacteriology. 163(3). 951–956. 13 indexed citations
15.
Arenson, Ronald L. & Jack London. (1979). Comprehensive Analysis of a Radiology Operations Management Computer System. Radiology. 133(2). 355–362. 16 indexed citations
16.
Li, Yi‐Ju, Jack London, Donald Fetterolf, & David Garfinkel. (1977). Gamma-Glutamyltransferase: kinetic properties and assay conditions when gamma-glutamyl-4-nitroanilide and its 3-carboxy derivative are used as donor substrates.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 23(1). 79–85. 28 indexed citations
17.
Garfinkel, David, Jack London, LEONARD M. DZUBOW, & William J. Nicklas. (1975). Computer simulation of the metabolism of guinea pig brain slices, and how they differ from the intact brain. Brain Research. 92(2). 207–218. 8 indexed citations
18.
Haut, Michael J., Jack London, & David Garfinkel. (1974). Simulation of the pentose cycle in lactating rat mammary gland. Biochemical Journal. 138(3). 511–524. 15 indexed citations
19.
London, Jack. (1968). Regulation and Function of Lactate Oxidation in Streptococcus faecium. Journal of Bacteriology. 95(4). 1380–1387. 31 indexed citations
20.
London, Jack & Milo D. Appleman. (1962). OXIDATIVE AND GLYCEROL METABOLISM OF TWO SPECIES OF ENTEROCOCCI. Journal of Bacteriology. 84(3). 597–598. 5 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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