John K. Northup

8.4k total citations · 8 hit papers
84 papers, 7.1k citations indexed

About

John K. Northup is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, John K. Northup has authored 84 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 19 papers in Cell Biology. Recurrent topics in John K. Northup's work include Receptor Mechanisms and Signaling (32 papers), Cellular transport and secretion (14 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). John K. Northup is often cited by papers focused on Receptor Mechanisms and Signaling (32 papers), Cellular transport and secretion (14 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). John K. Northup collaborates with scholars based in United States, Canada and Japan. John K. Northup's co-authors include Alfred G. Gilman, M D Smigel, Paul C. Sternweis, Gary Bokoch, Toshiaki Katada, M Ui, Michelle Glass, L. S. Schleifer, Erik L. Hewlett and C C Malbon and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

John K. Northup

84 papers receiving 6.7k citations

Hit Papers

Identification of the pre... 1980 2026 1995 2010 1983 1982 1981 1984 1980 100 200 300 400 500
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. Identification of the predominant substrate for ADP-ribosylation by islet activating protein.
    1983 513 citations John K. Northup et al. Journal of Biological Chemistry profile →
  2. The guanine nucleotide activating site of the regulatory component of adenylate cyclase. Identification by ligand binding.
    1982 504 citations John K. Northup et al. Journal of Biological Chemistry profile →
  3. The regulatory component of adenylate cyclase. Purification and properties.
    1981 436 citations John K. Northup et al. Journal of Biological Chemistry profile →
  4. Purification and properties of the inhibitory guanine nucleotide-binding regulatory component of adenylate cyclase.
    1984 427 citations John K. Northup et al. Journal of Biological Chemistry profile →
  5. Purification of the regulatory component of adenylate cyclase.
    1980 381 citations John K. Northup et al. profile →
  6. The inhibitory guanine nucleotide-binding regulatory component of adenylate cyclase. Properties and function of the purified protein.
    1984 355 citations John K. Northup et al. Journal of Biological Chemistry profile →
  7. The subunits of the stimulatory regulatory component of adenylate cyclase. Resolution of the activated 45,000-dalton (alpha) subunit.
    1983 317 citations John K. Northup et al. Journal of Biological Chemistry profile →
  8. The inhibitory guanine nucleotide-binding regulatory component of adenylate cyclase. Subunit dissociation and guanine nucleotide-dependent hormonal inhibition.
    1984 294 citations John K. Northup et al. Journal of Biological Chemistry profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John K. Northup 5.4k 2.0k 1.3k 618 556 84 7.1k
Ole Thastrup 5.3k 1.0× 2.6k 1.3× 994 0.7× 930 1.5× 564 1.0× 76 7.9k
John R. Hepler 6.4k 1.2× 2.4k 1.2× 1.2k 0.9× 691 1.1× 384 0.7× 104 8.1k
Karl H. Jakobs 7.7k 1.4× 2.1k 1.1× 2.0k 1.5× 1.3k 2.1× 664 1.2× 175 10.0k
Suresh K. Joseph 5.0k 0.9× 1.1k 0.6× 1.5k 1.1× 953 1.5× 808 1.5× 115 7.3k
Kendall Blumer 6.7k 1.2× 1.3k 0.7× 1.5k 1.1× 545 0.9× 315 0.6× 107 8.1k
Sushil K. Mahata 3.9k 0.7× 2.3k 1.1× 1.5k 1.1× 994 1.6× 638 1.1× 187 6.7k
Elliott M. Ross 9.6k 1.8× 3.5k 1.8× 2.0k 1.5× 1.0k 1.6× 710 1.3× 114 11.6k
Randy A. Hall 6.1k 1.1× 4.0k 2.0× 1.2k 0.9× 744 1.2× 370 0.7× 133 8.5k
Kuo‐Ping Huang 4.5k 0.8× 1.7k 0.8× 1.1k 0.8× 810 1.3× 278 0.5× 115 6.3k
Eva J. Neer 10.1k 1.9× 3.1k 1.6× 2.3k 1.7× 825 1.3× 567 1.0× 102 12.2k

Countries citing papers authored by John K. Northup

Since Specialization
Citations

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

Fields of papers citing papers by John K. Northup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Northup. 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 John K. Northup. The network helps show where John K. Northup may publish in the future.

Co-authorship network of co-authors of John K. Northup

This figure shows the co-authorship network connecting the top 25 collaborators of John K. Northup. A scholar is included among the top collaborators of John K. Northup 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 John K. Northup. John K. Northup 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.
Bhattacharyya, Nisan, Xin Hu, Catherine Z. Chen, et al.. (2014). A High Throughput Screening Assay System for the Identification of Small Molecule Inhibitors of gsp. PLoS ONE. 9(3). e90766–e90766. 12 indexed citations
2.
Randazzo, Paul A., et al.. (2013). Quantitative Analysis of Guanine Nucleotide Exchange Factors (GEFs) as Enzymes. PubMed. 3(1). e27609–e27609. 7 indexed citations
3.
Inagaki, Sayaka, Rodolfo Ghirlando, Jim F. White, et al.. (2012). Modulation of the Interaction between Neurotensin Receptor NTS1 and Gq Protein by Lipid. Journal of Molecular Biology. 417(1-2). 95–111. 96 indexed citations
4.
Northup, John K., et al.. (2011). Large Putative PEST-like Sequence Motif at the Carboxyl Tail of Human Calcium Receptor Directs Lysosomal Degradation and Regulates Cell Surface Receptor Level. Journal of Biological Chemistry. 287(6). 4165–4176. 27 indexed citations
5.
Chowdhury, Shoaib, et al.. (2010). Sar1-dependent trafficking of the human calcium receptor to the cell surface. Biochemical and Biophysical Research Communications. 396(4). 874–880. 17 indexed citations
6.
Sainz, Eduardo, Margaret M. Cavenagh, Joanne Gutierrez, et al.. (2007). The G‐protein coupling properties of the human sweet and amino acid taste receptors. Developmental Neurobiology. 67(7). 948–959. 38 indexed citations
7.
Saidak, Zuzana, Katherine G. Blake-Palmer, Debbie L. Hay, John K. Northup, & Michelle Glass. (2006). Differential activation of G‐proteins byμ‐opioid receptor agonists. British Journal of Pharmacology. 147(6). 671–680. 63 indexed citations
8.
9.
Okada, Mitsuko, David Goldman, Markku Linnoila, et al.. (2004). Comparison of G‐Protein Selectivity of Human 5‐HT2C and 5‐HT1A Receptors. Annals of the New York Academy of Sciences. 1025(1). 570–577. 7 indexed citations
10.
Ray, Kausik K., Sanchita Ghosh, & John K. Northup. (2004). The Role of Cysteines and Charged Amino Acids in Extracellular Loops of the Human Ca2+Receptor in Cell Surface Expression and Receptor Activation Processes. Endocrinology. 145(8). 3892–3903. 12 indexed citations
11.
Clark, William, et al.. (2001). Independent and synergistic interaction of retinal G-protein subunits with bovine rhodopsin measured by surface plasmon resonance. Biochemical Journal. 358(2). 389–389. 23 indexed citations
12.
Glass, Michelle & John K. Northup. (1999). Agonist Selective Regulation of G Proteins by Cannabinoid CB1 and CB2 Receptors. Molecular Pharmacology. 56(6). 1362–1369. 17 indexed citations
13.
Kroog, Glenn S., et al.. (1999). Phosphorylation Uncouples the Gastrin-releasing Peptide Receptor from Gq. Journal of Biological Chemistry. 274(51). 36700–36706. 14 indexed citations
14.
Sainz, Eduardo, et al.. (1999). The Bombesin Receptor Subtypes Have Distinct G Protein Specificities. Journal of Biological Chemistry. 274(17). 11573–11581. 57 indexed citations
15.
Liu, Wei, William Clark, Pushkar Sharma, & John K. Northup. (1998). Mechanism of Allosteric Regulation of the Rod cGMP Phosphodiesterase Activity by the Helical Domain of Transducin α Subunit. Journal of Biological Chemistry. 273(51). 34284–34292. 18 indexed citations
16.
Pobiner, Bonnie, et al.. (1991). Inhibitory GTP-binding regulatory protein Gi3 can couple angiotensin II receptors to inhibition of adenylyl cyclase in hepatocytes.. Molecular Pharmacology. 40(2). 156–167. 33 indexed citations
17.
Fawzi, Ahmad & John K. Northup. (1990). Guanine nucleotide binding characteristics of transducin: essential role of rhodopsin for rapid exchange of guanine nucleotides. Biochemistry. 29(15). 3804–3812. 63 indexed citations
18.
Northup, John K., et al.. (1988). Evaluation of the antiinflammatory and phospholipase-inhibitory activity of calpactin II/lipocortin I.. Journal of Clinical Investigation. 82(4). 1347–1352. 57 indexed citations
19.
20.
Northup, John K. & Tag E. Mansour. (1978). Adenylate Cyclase from Fasciola hepatica. Molecular Pharmacology. 14(5). 804–819. 6 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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