James M. Willard

646 total citations
23 papers, 518 citations indexed

About

James M. Willard is a scholar working on Molecular Biology, Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, James M. Willard has authored 23 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Biochemistry and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in James M. Willard's work include Enzyme function and inhibition (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). James M. Willard is often cited by papers focused on Enzyme function and inhibition (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (4 papers). James M. Willard collaborates with scholars based in United States and Israel. James M. Willard's co-authors include Harland G. Wood, Martin Gibbs, Robert E. Oswald, D. R. White, J. N. Stellflug, R.G. Sasser, Janet L. Schottel, Irwin A. Rose, Naomi L. Kruhlak and Terrance Cooper and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

James M. Willard

23 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James M. Willard United States 15 309 89 70 68 59 23 518
J.F.G. Vliegenthart Netherlands 18 560 1.8× 107 1.2× 27 0.4× 22 0.3× 37 0.6× 33 1.0k
H O Hansen Denmark 12 338 1.1× 100 1.1× 101 1.4× 12 0.2× 62 1.1× 16 588
Jenq‐Kuen Huang United States 14 627 2.0× 52 0.6× 125 1.8× 38 0.6× 71 1.2× 40 847
Minocher Reporter United States 15 361 1.2× 55 0.6× 58 0.8× 11 0.2× 23 0.4× 36 651
Liza A. Pon United States 8 495 1.6× 59 0.7× 184 2.6× 12 0.2× 99 1.7× 8 797
Kamal G. Bitar United States 13 319 1.0× 96 1.1× 17 0.2× 46 0.7× 41 0.7× 19 498
A Guerritore Italy 16 529 1.7× 39 0.4× 43 0.6× 101 1.5× 38 0.6× 41 664
Takehiro Shinoda Japan 7 785 2.5× 79 0.9× 20 0.3× 46 0.7× 37 0.6× 8 995
Peter G. Condliffe United States 16 181 0.6× 35 0.4× 15 0.2× 43 0.6× 56 0.9× 29 656
Alejandro Torrecillas Spain 19 600 1.9× 76 0.9× 26 0.4× 16 0.2× 34 0.6× 41 855

Countries citing papers authored by James M. Willard

Since Specialization
Citations

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

Fields of papers citing papers by James M. Willard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Willard. 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 James M. Willard. The network helps show where James M. Willard may publish in the future.

Co-authorship network of co-authors of James M. Willard

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Willard. A scholar is included among the top collaborators of James M. Willard 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 James M. Willard. James M. Willard 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.
Maxfield, Frederick R., James M. Willard, & Shuyan Lu. (2016). Lysosomes : biology, diseases, and therapeutics. Wiley eBooks. 5 indexed citations
2.
Slavov, Svetoslav, Jon G. Wilkes, Dan A. Buzatu, et al.. (2014). Computational identification of a phospholipidosis toxicophore using 13C and 15N NMR-distance based fingerprints. Bioorganic & Medicinal Chemistry. 22(23). 6706–6714. 20 indexed citations
3.
Kruhlak, Naomi L., Joseph F. Contrera, James L. Weaver, et al.. (2008). Development of a Phospholipidosis Database and Predictive Quantitative Structure-Activity Relationship (QSAR) Models. Toxicology Mechanisms and Methods. 18(2-3). 217–227. 38 indexed citations
4.
Willard, James M., et al.. (1995). Detection of fetal twins in sheep using a radioimmunoassay for pregnancy-specific protein B1. Journal of Animal Science. 73(4). 960–966. 70 indexed citations
5.
Willard, James M., et al.. (1992). Biochemical characterization of kainate receptors from goldfish brain.. Molecular Pharmacology. 42(2). 203–209. 14 indexed citations
6.
Willard, James M., et al.. (1992). The Interaction of a Kainate Receptor from Goldfish Brain with a Pertussis Toxin‐Sensitive GTP Binding Protein. Annals of the New York Academy of Sciences. 648(1). 351–352. 2 indexed citations
7.
Willard, James M., et al.. (1992). Coupling of a purified goldfish brain kainate receptor with a pertussis toxin-sensitive G protein.. Proceedings of the National Academy of Sciences. 89(9). 4134–4138. 29 indexed citations
8.
Willard, James M. & Robert E. Oswald. (1992). Interaction of the frog brain kainate receptor expressed in Chinese hamster ovary cells with a GTP-binding protein.. Journal of Biological Chemistry. 267(27). 19112–19116. 10 indexed citations
9.
Willard, James M., et al.. (1991). The interaction of a kainate receptor from goldfish brain with a pertussis toxin-sensitive GTP-binding protein. Journal of Biological Chemistry. 266(16). 10196–10200. 24 indexed citations
10.
Willard, James M., et al.. (1990). Cloning, sequencing, and regulation of expression of an extracellular esterase gene from the plant pathogen Streptomyces scabies. Journal of Bacteriology. 172(12). 7020–7026. 35 indexed citations
11.
Willard, James M., et al.. (1986). A new description of catalysis applied to carbonic anhydrase and other reactions. Journal of Molecular Catalysis. 34(1). 103–121. 1 indexed citations
12.
Willard, James M. & Martin Gibbs. (1975). [36] Fructose-diphosphat aldolase from blue-green algae. Methods in enzymology on CD-ROM/Methods in enzymology. 42. 228–234. 6 indexed citations
13.
Willard, James M. & Irwin A. Rose. (1973). Formation of enolpyruvate in the phosphoenolpyruvate carboxytransphosphorylase reaction. Biochemistry. 12(26). 5241–5246. 13 indexed citations
14.
Haberland, M E, James M. Willard, & Harland G. Wood. (1972). Phosphoenolpyruvate carboxytransphosphorylase. VI.Catalytic and physical structures. Biochemistry. 11(5). 712–722. 14 indexed citations
15.
Newcombe, David S. & James M. Willard. (1971). A spectrophotometric assay for hypoxanthine-guanine phosphoribosyltransferase. Analytical Biochemistry. 43(2). 454–459. 10 indexed citations
16.
17.
Willard, James M., et al.. (1969). Phosphoenolpyruvate carboxytransphosphorylase. IV. Requirement for metal cations. Biochemistry. 8(8). 3137–3144. 57 indexed citations
18.
Willard, James M. & Martin Gibbs. (1968). Role of Aldolase in Photosynthesis. II Demonstration of Aldolase Types in Photosynthetic Organisms. PLANT PHYSIOLOGY. 43(5). 793–798. 35 indexed citations
19.
Willard, James M. & Martin Gibbs. (1968). Purification and characterization of the fructose diphosphate aldolases from Anacystis is nidulans and Saprospira thermalis. Biochimica et Biophysica Acta (BBA) - Enzymology. 151(2). 438–448. 23 indexed citations
20.
Willard, James M., Marvin Schulman, & Martin Gibbs. (1965). Aldolase in Anacystis nidulans and Rhodopseudomonas spheroides. Nature. 206(4980). 195–195. 15 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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