George A. Krudy

509 total citations
21 papers, 418 citations indexed

About

George A. Krudy is a scholar working on Organic Chemistry, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, George A. Krudy has authored 21 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 8 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in George A. Krudy's work include Organophosphorus compounds synthesis (4 papers), RNA and protein synthesis mechanisms (4 papers) and Computational Drug Discovery Methods (3 papers). George A. Krudy is often cited by papers focused on Organophosphorus compounds synthesis (4 papers), RNA and protein synthesis mechanisms (4 papers) and Computational Drug Discovery Methods (3 papers). George A. Krudy collaborates with scholars based in United States, Portugal and China. George A. Krudy's co-authors include Paul R. Rosevear, George W. Holland, Junmei Wang, Roger S. Macomber, John A. Putkey, Jack W. Howarth, Xiaojie Xu, Tingjun Hou, Wei Zhang and Rui M. M. Brito and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

George A. Krudy

20 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George A. Krudy United States 11 177 109 101 99 62 21 418
Brian B. Masek United States 13 225 1.3× 27 0.2× 182 1.8× 200 2.0× 68 1.1× 18 460
Vittorio Rasetti Switzerland 13 352 2.0× 167 1.5× 187 1.9× 70 0.7× 23 0.4× 17 594
Colin J. Salter United Kingdom 7 161 0.9× 40 0.4× 73 0.7× 55 0.6× 164 2.6× 11 386
Yoshiyasu Furukawa Japan 12 374 2.1× 80 0.7× 366 3.6× 38 0.4× 21 0.3× 35 707
Fredrik Österberg Sweden 6 534 3.0× 78 0.7× 117 1.2× 314 3.2× 45 0.7× 7 711
Philippe Piéchon Switzerland 11 163 0.9× 20 0.2× 73 0.7× 28 0.3× 72 1.2× 14 347
Joachim März Germany 11 216 1.2× 13 0.1× 215 2.1× 38 0.4× 68 1.1× 19 492
Sabine Schefzick United States 10 106 0.6× 14 0.1× 82 0.8× 61 0.6× 202 3.3× 11 339
Lewis Whitehead Switzerland 8 341 1.9× 25 0.2× 89 0.9× 59 0.6× 27 0.4× 12 426
Rolf Güller Switzerland 10 186 1.1× 61 0.6× 179 1.8× 69 0.7× 20 0.3× 11 374

Countries citing papers authored by George A. Krudy

Since Specialization
Citations

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

Fields of papers citing papers by George A. Krudy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George A. Krudy. 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 George A. Krudy. The network helps show where George A. Krudy may publish in the future.

Co-authorship network of co-authors of George A. Krudy

This figure shows the co-authorship network connecting the top 25 collaborators of George A. Krudy. A scholar is included among the top collaborators of George A. Krudy 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 George A. Krudy. George A. Krudy 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.
Wang, Junmei, George A. Krudy, Tingjun Hou, et al.. (2007). Development of Reliable Aqueous Solubility Models and Their Application in Druglike Analysis. Journal of Chemical Information and Modeling. 47(4). 1395–1404. 98 indexed citations
2.
Wang, Junmei, George A. Krudy, Xiang‐Qun Xie, Chengde Wu, & George W. Holland. (2007). Genetic Algorithm‐Optimized QSPR Models for Bioavailability, Protein Binding, and Urinary Excretion.. ChemInform. 38(10). 1 indexed citations
3.
Wang, Junmei, George A. Krudy, Xiang‐Qun Xie, Chengde Wu, & George W. Holland. (2006). Genetic Algorithm-Optimized QSPR Models for Bioavailability, Protein Binding, and Urinary Excretion. Journal of Chemical Information and Modeling. 46(6). 2674–2683. 43 indexed citations
4.
Chen, Qi, et al.. (1999). A 3D QSAR analysis ofin vitro binding affinity and selectivity of 3-isoxazolylsulfonylaminothiophenes as endothelin receptor antagonists. Quantitative Structure-Activity Relationships. 18(2). 124–133. 2 indexed citations
5.
6.
Howarth, Jack W., George A. Krudy, Xin Lin, John A. Putkey, & Paul R. Rosevear. (1995). An NMR and spin label study of the effects of binding calcium and troponin I inhibitory peptide to cardiac troponin C. Protein Science. 4(4). 671–680. 18 indexed citations
7.
Xu, Bo, et al.. (1994). Probing the metal binding sites of Escherichia coli isoleucyl-tRNA synthetase. Biochemistry. 33(2). 398–402. 9 indexed citations
8.
Jones, C. Michael, et al.. (1994). Synthetic Macrophage Activating Peptides Derived from the N-Terminus of Human MCF. Biochemical and Biophysical Research Communications. 199(1). 20–25. 1 indexed citations
9.
Lin, Xin, George A. Krudy, Jack W. Howarth, et al.. (1994). Assignment and calcium dependence of methionyl .epsilon.C and .epsilon.H resonances in cardiac troponin C. Biochemistry. 33(48). 14434–14442. 17 indexed citations
10.
Krudy, George A., et al.. (1994). NMR studies delineating spatial relationships within the cardiac troponin I-troponin C complex.. Journal of Biological Chemistry. 269(38). 23731–23735. 72 indexed citations
11.
Xu, Baojun, George A. Krudy, & Paul R. Rosevear. (1993). Identification of the metal ligands and characterization of a putative zinc finger in methionyl-tRNA synthetase. Journal of Biological Chemistry. 268(22). 16259–16264. 15 indexed citations
12.
Brito, Rui M. M., et al.. (1993). Calcium plays distinctive structural roles in the N- and C-terminal domains of cardiac troponin C.. Journal of Biological Chemistry. 268(28). 20966–20973. 20 indexed citations
13.
Krudy, George A., Rui M. M. Brito, John A. Putkey, & Paul R. Rosevear. (1992). Conformational changes in the metal-binding sites of cardiac troponin C induced by calcium binding. Biochemistry. 31(6). 1595–1602. 29 indexed citations
14.
Gómez, Ana M., et al.. (1990). The processing of N-linked glycans in yeast. Mutually exclusive steps in the processing of a Man6 derivative by yeast membrane preparations.. Journal of Biological Chemistry. 265(2). 754–759. 11 indexed citations
15.
Krudy, George A., et al.. (1989). Protein matrix effects on glycan processing by mannosidase II and sialyl transferase from rat liver. Biochemistry. 28(9). 4077–4083. 7 indexed citations
16.
17.
Macomber, Roger S., et al.. (1983). Reactions of oxaphospholenes. 2. Hydrolysis of neopentyl esters, phenyl esters, and amides. The Journal of Organic Chemistry. 48(9). 1420–1424. 9 indexed citations
18.
Macomber, Roger S. & George A. Krudy. (1981). Reactions of oxaphospholenes. 1. Solvolysis and ring opening. The Journal of Organic Chemistry. 46(20). 4038–4041. 7 indexed citations
19.
Krudy, George A. & Roger S. Macomber. (1979). Phosphorus coupling in 13C and 1H NMR. Journal of Chemical Education. 56(2). 109–109. 4 indexed citations
20.
Krudy, George A. & Roger S. Macomber. (1978). Carbon-13 nuclear magnetic resonance spectra of allenic phosphonyl compounds and the related 1,2-oxaphosphol-3-enes. The Journal of Organic Chemistry. 43(24). 4656–4658. 10 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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