Jim King

430 total citations
11 papers, 331 citations indexed

About

Jim King is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jim King has authored 11 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Jim King's work include Cell death mechanisms and regulation (2 papers), Immune cells in cancer (2 papers) and Planarian Biology and Electrostimulation (2 papers). Jim King is often cited by papers focused on Cell death mechanisms and regulation (2 papers), Immune cells in cancer (2 papers) and Planarian Biology and Electrostimulation (2 papers). Jim King collaborates with scholars based in United States, Germany and Brazil. Jim King's co-authors include Haifan Lin, Daniel N. Cox, Akos Szakmary, Herbert Nar, Florian Binder, Markus Zeeb, James A. Hamilton, Margit Bauer, Dennis Fiegen and Barbara H. Bowman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Jim King

10 papers receiving 326 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jim King United States	5	256	60	53	53	46	11	331
T. Miyake Japan	9	265 1.0×	60 1.0×	74 1.4×	69 1.3×	51 1.1×	19	400
Shin Sugiyama Japan	10	388 1.5×	24 0.4×	26 0.5×	40 0.8×	47 1.0×	14	437
Peter Bangs United States	9	328 1.3×	63 1.1×	17 0.3×	19 0.4×	35 0.8×	9	404
Deborah J. Frank United States	9	299 1.2×	31 0.5×	27 0.5×	44 0.8×	33 0.7×	15	431
Kristina S. Sinsimer United States	9	358 1.4×	46 0.8×	41 0.8×	36 0.7×	17 0.4×	9	415
Minoru Tateno Japan	5	245 1.0×	58 1.0×	13 0.2×	47 0.9×	69 1.5×	7	364
Janet Rollins United States	10	251 1.0×	52 0.9×	28 0.5×	45 0.8×	56 1.2×	12	379
Shuhei Kimura Japan	12	312 1.2×	43 0.7×	53 1.0×	107 2.0×	81 1.8×	15	445
Xuehong Liang China	10	277 1.1×	30 0.5×	61 1.2×	30 0.6×	33 0.7×	12	340
Alan P. Wolffe United States	11	605 2.4×	30 0.5×	62 1.2×	132 2.5×	20 0.4×	13	657

Countries citing papers authored by Jim King

Since Specialization

Citations

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

Fields of papers citing papers by Jim King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim King

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

All Works

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11 of 11 papers shown

King, Jim, et al.. (2024). Recapitulation of NOD/RIPK2 signaling in iPSC-derived macrophages. SLAS DISCOVERY. 29(7). 100185–100185.

Hamilton, James A., Florian Binder, Margit Bauer, et al.. (2021). Discovery and Structure-Based Optimization of Fragments Binding the Mixed Lineage Kinase Domain-like Protein Executioner Domain. Journal of Medicinal Chemistry. 64(21). 15629–15638. 14 indexed citations

Fiegen, Dennis, Margit Bauer, Florian Binder, et al.. (2020). Locking mixed-lineage kinase domain-like protein in its auto-inhibited state prevents necroptosis. Proceedings of the National Academy of Sciences. 117(52). 33272–33281. 36 indexed citations

Lewis, Nuruddeen D., Lori Patnaude, Josephine Pelletier, et al.. (2014). A GPBAR1 (TGR5) Small Molecule Agonist Shows Specific Inhibitory Effects on Myeloid Cell Activation In Vitro and Reduces Experimental Autoimmune Encephalitis (EAE) In Vivo. PLoS ONE. 9(6). e100883–e100883. 54 indexed citations

King, Jim, Akos Szakmary, Daniel N. Cox, & Haifan Lin. (2001). Yb Modulates the Divisions of Both Germline and Somatic Stem Cells through piwi- and hh-Mediated Mechanisms in the Drosophila Ovary. Molecular Cell. 7(3). 497–508. 126 indexed citations

King, Jim & Haifan Lin. (1999). Somatic signaling mediated by fs(1)Yb is essential for germline stem cell maintenance during Drosophila oogenesis. Development. 126(9). 1833–1844. 87 indexed citations

Mendelsohn, John, et al.. (1970). PRESERVATION OF UNCOOKED FISH MUSCLE BY CRYOGENIC RADIOSTERILIZATION.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations

Crawford, F. T., et al.. (1966). Distribution of practice in the classical conditioning of planarians. Psychonomic Science. 4(1). 29–30. 3 indexed citations

Crawford, F. T., et al.. (1965). Amino acid analysis of planarians following conditioning. Psychonomic Science. 2(1-12). 49–50. 3 indexed citations

10.

Bowman, Barbara H. & Jim King. (1961). Effects of Glutamine and Asparagine Supplements in the Dietary Regimen of Three Phenylketonuric Patients. Nature. 190(4774). 417–418. 4 indexed citations

11.

King, Jim & Barbara H. Bowman. (1960). PHENYLKETONURIA: FIVE AFFECTED MEMBERS IN ONE SIBSHIP. Journal of Heredity. 51(2). 86–90. 2 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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