John C. Hancock

1.1k total citations
53 papers, 772 citations indexed

About

John C. Hancock is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, John C. Hancock has authored 53 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 7 papers in Genetics. Recurrent topics in John C. Hancock's work include Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (11 papers) and Advanced Wireless Communication Techniques (5 papers). John C. Hancock is often cited by papers focused on Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (11 papers) and Advanced Wireless Communication Techniques (5 papers). John C. Hancock collaborates with scholars based in United States and United Kingdom. John C. Hancock's co-authors include Donald B. Hoover, Ronald Y. Chang, Robert W. Lucky, John F. Gamble, Mark R. Gilbert, Nivedita M. Ratnam, Masaki Terabe, James A. Merchant, W. C. Lindsey and William G. Jones and has published in prestigious journals such as IEEE Transactions on Information Theory, FEBS Letters and CHEST Journal.

In The Last Decade

John C. Hancock

50 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John C. Hancock United States 16 191 188 136 122 87 53 772
Changqing Zhou China 24 408 2.1× 58 0.3× 82 0.6× 41 0.3× 65 0.7× 64 1.6k
Qunwei Li China 17 177 0.9× 249 1.3× 23 0.2× 160 1.3× 88 1.0× 65 981
Xuan Wang China 16 244 1.3× 29 0.2× 93 0.7× 190 1.6× 66 0.8× 82 847
Lihong Ren China 17 211 1.1× 127 0.7× 8 0.1× 221 1.8× 117 1.3× 103 1.1k
Jun Kato Japan 18 224 1.2× 22 0.1× 19 0.1× 34 0.3× 57 0.7× 80 1.1k
Chun Xiao China 13 124 0.6× 163 0.9× 79 0.6× 103 0.8× 41 0.5× 63 660
Hanxiao Liu China 13 189 1.0× 46 0.2× 51 0.4× 16 0.1× 419 4.8× 37 1.0k
Qiang Guan China 19 218 1.1× 98 0.5× 69 0.5× 145 1.2× 52 0.6× 78 1.0k
Deguang Wang China 19 214 1.1× 82 0.4× 30 0.2× 56 0.5× 111 1.3× 121 1.2k
Lin Lü China 17 181 0.9× 28 0.1× 74 0.5× 12 0.1× 129 1.5× 71 751

Countries citing papers authored by John C. Hancock

Since Specialization
Citations

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

Fields of papers citing papers by John C. Hancock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John C. Hancock

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Hancock. A scholar is included among the top collaborators of John C. Hancock 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 C. Hancock. John C. Hancock 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.
Hancock, John C., et al.. (2022). Exploring the origin of the cancer stem cell niche and its role in anti-angiogenic treatment for glioblastoma. Frontiers in Oncology. 12. 947634–947634. 12 indexed citations
2.
Johnson, Deborah, et al.. (2021). CD4 Inhibits Helper T Cell Activation at Lower Affinity Threshold for Full-Length T Cell Receptors Than Single Chain Signaling Constructs. Frontiers in Immunology. 11. 561889–561889. 4 indexed citations
3.
Hancock, John C., et al.. (2021). Making a Cold Tumor Hot: The Role of Vaccines in the Treatment of Glioblastoma. Frontiers in Oncology. 11. 672508–672508. 74 indexed citations
4.
Hancock, John C., et al.. (2016). Ductal Carcinoma In situ of the Male Breast. Breast Care. 11(4). 288–290. 14 indexed citations
5.
Hancock, John C. & Donald B. Hoover. (2008). Capsaicin-evoked bradycardia in anesthetized guinea pigs is mediated by endogenous tachykinins. Regulatory Peptides. 147(1-3). 19–24. 6 indexed citations
6.
Hancock, John C., et al.. (2006). Practical Business Intelligence with SQL Server 2005 (Microsoft Windows Server System Series). 1 indexed citations
7.
Zhang, Lili, John C. Hancock, & Donald B. Hoover. (2005). Tachykinin Agonists Modulate Cholinergic Neurotransmission at Guinea-Pig Intracardiac Ganglia. Journal of Pharmacological Sciences. 99(3). 228–238. 5 indexed citations
8.
Chang, Yingzi, et al.. (2005). Pituitary adenylate cyclase-activating polypeptide: Localization and differential influence on isolated hearts from rats and guinea pigs. Regulatory Peptides. 129(1-3). 139–146. 15 indexed citations
9.
Hancock, John C., et al.. (2000). Enhanced ganglionic responses to substance P in spontaneously hypertensive rats☆. Peptides. 21(4). 535–541. 8 indexed citations
10.
Chang, Yoon‐Seok, Donald B. Hoover, John C. Hancock, & Frederick M. Smith. (2000). Tachykinin Receptor Subtypes in the Isolated Guinea Pig Heart and Their Role in Mediating Responses to Neurokinin A. Journal of Pharmacology and Experimental Therapeutics. 294(1). 147–154. 9 indexed citations
11.
Tompkins, John D., Donald B. Hoover, & John C. Hancock. (1999). Substance P evokes bradycardia by stimulation of postganglionic cholinergic neurons. Peptides. 20(5). 623–628. 13 indexed citations
12.
Hancock, John C., Alan Wells, Kevin C. Halling, et al.. (1999). Composite B-cell and T-cell lymphoma arising 24 years after nodular lymphocyte predominant hodgkin's disease. Annals of Diagnostic Pathology. 3(1). 23–34. 18 indexed citations
13.
Rice, Peter J., et al.. (1999). cAMP and in vitro inotropic actions of secretin and VIP in rat papillary muscle. Peptides. 20(4). 519–522. 5 indexed citations
14.
Hancock, John C., et al.. (1995). Pressor and tachycardic responses to intravenous substance P in anesthetized rats. Peptides. 16(8). 1439–1445. 12 indexed citations
15.
Hoover, Donald B. & John C. Hancock. (1988). Distribution of substance P binding sites in guinea-pig heart and pharmacological effects of substance P. Journal of the Autonomic Nervous System. 23(3). 189–197. 39 indexed citations
16.
Reger, Robert B., John C. Hancock, J. Hankinson, Frank J. Hearl, & James A. Merchant. (1982). COAL MINERS EXPOSED TO DIESEL EXHAUST EMISSIONS. The Annals of Occupational Hygiene. 26(1-4). 799–815. 45 indexed citations
17.
Boehlecke, Brian, et al.. (1981). Pulmonary Function Response to Dust from Standard and Closed Boll Harvested Cotton. CHEST Journal. 79(4). 77S–81S. 10 indexed citations
18.
Hoover, Donald B., et al.. (1981). Binding of [3H]quinuclidinyl Benzilate to regions of rat pituitary and hypothalamus. Brain Research Bulletin. 6(3). 209–211. 2 indexed citations
19.
Hancock, John C., et al.. (1966). Nonsupervised sequential classification and recognition of patterns. IEEE Transactions on Information Theory. 12(3). 362–372. 36 indexed citations
20.
Hancock, John C., et al.. (1963). Performance of Hamming Codes. 9(4). 115–126. 4 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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