Mendel Tuchman

6.8k total citations
151 papers, 4.9k citations indexed

About

Mendel Tuchman is a scholar working on Clinical Biochemistry, Molecular Biology and Biochemistry. According to data from OpenAlex, Mendel Tuchman has authored 151 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Clinical Biochemistry, 86 papers in Molecular Biology and 64 papers in Biochemistry. Recurrent topics in Mendel Tuchman's work include Metabolism and Genetic Disorders (92 papers), Amino Acid Enzymes and Metabolism (62 papers) and Biochemical and Molecular Research (40 papers). Mendel Tuchman is often cited by papers focused on Metabolism and Genetic Disorders (92 papers), Amino Acid Enzymes and Metabolism (62 papers) and Biochemical and Molecular Research (40 papers). Mendel Tuchman collaborates with scholars based in United States, Canada and China. Mendel Tuchman's co-authors include Hiroki Morizono, Ljubica Caldovic, Dashuang Shi, Norma M. Allewell, Marc Yudkoff, Marshall Summar, Margaret L. Ramnaraine, William G. Woods, Mark L. Batshaw and Robert B. MacArthur and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Mendel Tuchman

150 papers receiving 4.8k citations

Author Peers

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

Author Last Decade Papers Cites
Mendel Tuchman 2.6k 2.4k 1.4k 868 593 151 4.9k
Eduard A. Struys 3.3k 1.3× 2.2k 0.9× 1.2k 0.8× 832 1.0× 175 0.3× 149 6.1k
Stefan Kölker 3.9k 1.5× 4.2k 1.7× 938 0.6× 895 1.0× 289 0.5× 218 6.3k
Nicola Longo 3.4k 1.3× 3.3k 1.4× 742 0.5× 715 0.8× 173 0.3× 197 6.1k
Johannes Häberle 2.5k 1.0× 2.9k 1.2× 1.2k 0.8× 974 1.1× 147 0.2× 194 4.9k
Matthias R. Baumgartner 3.2k 1.3× 3.2k 1.3× 565 0.4× 879 1.0× 211 0.4× 181 6.1k
Wolfgang Sperl 4.1k 1.6× 2.3k 0.9× 415 0.3× 415 0.5× 330 0.6× 204 6.2k
U. Wendel 2.6k 1.0× 3.1k 1.3× 544 0.4× 699 0.8× 215 0.4× 200 5.1k
David M. Koeller 2.9k 1.1× 1.5k 0.6× 375 0.3× 218 0.3× 148 0.2× 66 4.4k
Neil R.M. Buist 2.0k 0.8× 1.6k 0.7× 488 0.3× 497 0.6× 172 0.3× 111 5.4k
Vivian E. Shih 1.6k 0.6× 2.0k 0.8× 761 0.5× 818 0.9× 152 0.3× 129 4.3k

Countries citing papers authored by Mendel Tuchman

Since Specialization
Citations

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

Fields of papers citing papers by Mendel Tuchman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mendel Tuchman

This figure shows the co-authorship network connecting the top 25 collaborators of Mendel Tuchman. A scholar is included among the top collaborators of Mendel Tuchman 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 Mendel Tuchman. Mendel Tuchman 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.
Häberle, Johannes, Véronique Rüfenacht, Dariusz Rokicki, et al.. (2021). Noncoding sequence variants define a novel regulatory element in the first intron of the N ‐acetylglutamate synthase gene. Human Mutation. 42(12). 1624–1636. 5 indexed citations
2.
McGuire, Peter J., Sree Rayavarapu, Kanneboyina Nagaraju, et al.. (2019). AMP‐activated protein kinase signaling regulated expression of urea cycle enzymes in response to changes in dietary protein intake. Journal of Inherited Metabolic Disease. 42(6). 1088–1096. 9 indexed citations
3.
Williams, Monique, Alberto Burlina, Laura Rubert, et al.. (2018). N-Acetylglutamate Synthase Deficiency Due to a Recurrent Sequence Variant in the N-acetylglutamate Synthase Enhancer Region. Scientific Reports. 8(1). 15436–15436. 8 indexed citations
4.
Shi, Dashuang, Gengxiang Zhao, Nicholas Ah Mew, & Mendel Tuchman. (2016). Precision medicine in rare disease: Mechanisms of disparate effects of N -carbamyl- l -glutamate on mutant CPS1 enzymes. Molecular Genetics and Metabolism. 120(3). 198–206. 11 indexed citations
5.
Caldovic, Ljubica, et al.. (2014). Expression Pattern and Biochemical Properties of Zebrafish N-Acetylglutamate Synthase. PLoS ONE. 9(1). e85597–e85597. 11 indexed citations
6.
7.
Tuchman, Mendel, et al.. (2010). N-カルバミルグルタミン酸は,プロピオン酸血症において尿素形成を促進し,アンモニアおよびグルタミンを減少させる. PEDIATRICS. 126(1). 168. 1 indexed citations
8.
Dobrowolski, Steven F., et al.. (2007). Streamlined assessment of gene variants by high resolution melt profiling utilizing the ornithine transcarbamylase gene as a model system. Human Mutation. 28(11). 1133–1140. 21 indexed citations
9.
Caldovic, Ljubica, Hiroki Morizono, Giselle Y. López, et al.. (2005). Late onset N-acetylglutamate synthase deficiency caused by hypomorphic alleles. Human Mutation. 25(3). 293–298. 34 indexed citations
10.
Woods, William G., et al.. (2005). Health and Economic Benefits of Well-Designed Evaluations: Some Lessons From Evaluating Neuroblastoma Screening. JNCI Journal of the National Cancer Institute. 97(15). 1118–1124. 8 indexed citations
11.
Caldovic, Ljubica, et al.. (2003). Null mutations in the N-acetylglutamate synthase gene associated with acute neonatal disease and hyperammonemia. Human Genetics. 112(4). 364–368. 43 indexed citations
12.
McCullough, Beth, Marc Yudkoff, Mark L. Batshaw, et al.. (2000). Genotype spectrum of ornithine transcarbamylase deficiency: Correlation with the clinical and biochemical phenotype. American Journal of Medical Genetics. 93(4). 313–319. 96 indexed citations
13.
Tuchman, Mendel, Beth McCullough, & Marc Yudkoff. (2000). The molecular basis of ornithine transcarbamylase deficiency. European Journal of Pediatrics. 159(S3). S196–S198. 18 indexed citations
14.
Woods, William G., Mendel Tuchman, Leslie L. Robison, et al.. (1996). A population-based study of the usefulness of screening for neuroblastoma. The Lancet. 348(9043). 1682–1687. 161 indexed citations
15.
Hachitanda, Yoichi, William G. Woods, Mendel Tuchman, et al.. (1995). Screening for neuroblastoma in north america. Preliminary results of a pathology review from the quebec project. Cancer. 76(11). 2363–2371. 23 indexed citations
16.
17.
Woods, William G., Mendel Tuchman, Mark L. Bernstein, et al.. (1992). Screening for Neuroblastoma in North America. The Pediatric Infectious Disease Journal. 14(4). 312–319. 4 indexed citations
18.
Vockley, Jerry, et al.. (1992). Normal N-acetylglutamate concentration measured in liver from a new patient with N-acetylglutamate synthetase deficiency: Physiologic and biochemical implications. Biochemical Medicine and Metabolic Biology. 47(1). 38–46. 19 indexed citations
19.
Mrozek, Jeanne D., Robert A. Holzknecht, Ralph J. Butkowski, S. Michael Mauer, & Mendel Tuchman. (1991). X-chromosome inactivation in the liver of female heterozygous OTC-deficient Sparse-furash mice. Biochemical Medicine and Metabolic Biology. 45(3). 333–343. 5 indexed citations
20.
Tuchman, Mendel & Robert A. Ulstrom. (1985). Urinary Organic Acids in Health and Disease. Advances in Pediatrics. 32(1). 469–506. 7 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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