John Freeman

3.9k total citations · 1 hit paper
52 papers, 2.7k citations indexed

About

John Freeman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sociology and Political Science. According to data from OpenAlex, John Freeman has authored 52 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Sociology and Political Science. Recurrent topics in John Freeman's work include Neuropeptides and Animal Physiology (6 papers), Photosynthetic Processes and Mechanisms (4 papers) and Insect and Pesticide Research (3 papers). John Freeman is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Photosynthetic Processes and Mechanisms (4 papers) and Insect and Pesticide Research (3 papers). John Freeman collaborates with scholars based in United States, United Kingdom and Japan. John Freeman's co-authors include Michael T. Hannan, George Bot, Allan D. Blake, Joseph J. Villafranca, Terry Reisine, Kazuhiko Matsuda, David B. Sattelle, Robert E. Blankenship, P. G. N. Nayar and Tadhg P. Begley and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

John Freeman

41 papers receiving 2.5k citations

Hit Papers

Organizational Ecology 1989 2026 2001 2013 1989 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Freeman United States 15 811 477 445 429 428 52 2.7k
David Crowther United Kingdom 26 1.2k 1.4× 206 0.4× 172 0.4× 255 0.6× 484 1.1× 135 2.8k
James A. Waters United States 24 1.9k 2.4× 296 0.6× 494 1.1× 1.4k 3.2× 582 1.4× 77 5.1k
A. Schubert Hungary 44 503 0.6× 596 1.2× 325 0.7× 91 0.2× 403 0.9× 217 6.6k
Frank Wilkinson United Kingdom 32 700 0.9× 766 1.6× 429 1.0× 186 0.4× 186 0.4× 144 3.9k
Hui Lei China 31 888 1.1× 108 0.2× 222 0.5× 636 1.5× 157 0.4× 102 3.3k
Michael Lévy United States 38 467 0.6× 220 0.5× 1.1k 2.4× 2.0k 4.7× 590 1.4× 123 6.9k
Paul Jackson Australia 23 348 0.4× 102 0.2× 138 0.3× 123 0.3× 237 0.6× 62 1.4k
Sarah J. Ross United Kingdom 20 212 0.3× 82 0.2× 712 1.6× 515 1.2× 1.1k 2.6× 49 3.7k
Peter John United Kingdom 48 803 1.0× 1.2k 2.5× 1.9k 4.2× 299 0.7× 322 0.8× 245 7.2k
Paul Starr United States 21 695 0.9× 932 2.0× 348 0.8× 138 0.3× 167 0.4× 90 3.2k

Countries citing papers authored by John Freeman

Since Specialization
Citations

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

Fields of papers citing papers by John Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of John Freeman. A scholar is included among the top collaborators of John Freeman 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 Freeman. John Freeman 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.
Laarni, Jari, Niklas Ravaja, Timo Saari, et al.. (2015). Ways to measure presence. Review and future directions. Springer eBooks. 139–185. 1 indexed citations
2.
Freeman, John. (2013). Border Memorial: Frontera De Los Muertos. 3(1). 129–131. 1 indexed citations
3.
Grimwood, S., Yang Lü, Anne W. Schmidt, et al.. (2011). Pharmacological Characterization of 2-Methyl-N-((2′-(pyrrolidin-1-ylsulfonyl)biphenyl-4-yl)methyl)propan-1-amine (PF-04455242), a High-Affinity Antagonist Selective for κ-Opioid Receptors. Journal of Pharmacology and Experimental Therapeutics. 339(2). 555–566. 52 indexed citations
4.
Freeman, John. (2003). Tracing the Footprints: Documenting the Process of Performance. Australian Dental Journal. 25(3). 176–176. 2 indexed citations
5.
Freeman, John. (2002). Delight in the (Dis)order of Things: Tristram Shandy and the Dynamics of Genre. Studies in the novel. 34(2). 141. 2 indexed citations
6.
Freeman, John. (2000). Photojournalism and Foreign Policy: Icons of Outrage in International Crises. Journalism & Mass Communication Educator. 55(3). 96. 2 indexed citations
7.
Matsuda, Kazuhiko, Masaru Shimomura, Makoto Ihara, et al.. (2000). Role of loop D of the α7 nicotinic acetylcholine receptor in its interaction with the insecticide imidacloprid and related neonicotinoids. British Journal of Pharmacology. 130(5). 981–986. 64 indexed citations
8.
Freeman, John, et al.. (1999). Metal-dependent Self-assembly of Protein Tubes from Escherichia coli Glutamine Synthetase. Journal of Biological Chemistry. 274(39). 27963–27968. 8 indexed citations
9.
Matsuda, Kazuhiko, Steven D. Buckingham, John Freeman, et al.. (1998). Effects of the α subunit on imidacloprid sensitivity of recombinant nicotinic acetylcholine receptors. British Journal of Pharmacology. 123(3). 518–524. 108 indexed citations
10.
Blake, Allan D., et al.. (1997). Differential Agonist Regulation of the Human κ‐Opioid Receptor. Journal of Neurochemistry. 68(5). 1846–1852. 54 indexed citations
11.
Goodchild, Colin S., et al.. (1997). 5-HT spinal antinociception involves mu opioid receptors: cross tolerance and antagonist studies. British Journal of Anaesthesia. 78(5). 563–569. 12 indexed citations
12.
Kulathila, Raviraj, Angelo P. Consalvo, Paul F. Fitzpatrick, et al.. (1994). Bifunctional Peptidylglycine α-Amidating Enzyme Requires 2 Copper Atoms for Maximum Activity. Archives of Biochemistry and Biophysics. 311(1). 191–195. 49 indexed citations
13.
Freeman, John, P. G. N. Nayar, Tadhg P. Begley, & Joseph J. Villafranca. (1993). Stoichiometry and spectroscopic identity of copper centers in phenoxazinone synthase: A new addition to the blue copper oxidase family. Biochemistry. 32(18). 4826–4830. 82 indexed citations
15.
Villafranca, Joseph J., et al.. (1992). Mechanisms of copper enzymes. Journal of Inorganic Biochemistry. 47(3-4). 35–35. 1 indexed citations
16.
Freeman, John. (1991). Security and the CSCE Process. Palgrave Macmillan UK eBooks. 3 indexed citations
17.
Freeman, John & Robert E. Blankenship. (1990). Isolation and characterization of the membrane-bound cytochrome c-554 from the thermophilic green photosynthetic bacterium Chloroflexus aurantiacus. Photosynthesis Research. 23(1). 29–38. 32 indexed citations
18.
Meyer, Terrance E., Gordon Tollin, Michael A. Cusanovich, John Freeman, & R.E. Blankenship. (1989). In vitro kinetics of reduction of cytochrome c554 isolated from the reaction center of the green phototrophic bacterium, Chloroflexus aurantiacus. Archives of Biochemistry and Biophysics. 272(1). 254–261. 6 indexed citations
19.
Freeman, John, et al.. (1953). Wind mixing currents /. Biodiversity Heritage Library (Smithsonian Institution). 4 indexed citations
20.
Freeman, John, et al.. (1952). INTER-RELATIONS BETWEEN JET BEHAVIOR AND HYDRAULIC PROCESSES OBSERVED AT DELTAIC RIVER MOUTHS AND TIDAL INLETS. Coastal Engineering Proceedings. 12–12. 3 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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