Tim Wood

2.0k total citations
61 papers, 1.3k citations indexed

About

Tim Wood is a scholar working on Physiology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Tim Wood has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Physiology, 23 papers in Molecular Biology and 13 papers in Organic Chemistry. Recurrent topics in Tim Wood's work include Lysosomal Storage Disorders Research (29 papers), Carbohydrate Chemistry and Synthesis (13 papers) and Metabolism and Genetic Disorders (10 papers). Tim Wood is often cited by papers focused on Lysosomal Storage Disorders Research (29 papers), Carbohydrate Chemistry and Synthesis (13 papers) and Metabolism and Genetic Disorders (10 papers). Tim Wood collaborates with scholars based in United States, United Kingdom and Canada. Tim Wood's co-authors include Roger E. Stevenson, Charles E. Schwartz, Laura Pollard, Richard J. Simensen, Sara Cathey, Sarah P. Young, Kenton R. Holden, Gajja S. Salomons, John Sowell and Cornelis Jakobs and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The American Journal of Human Genetics.

In The Last Decade

Tim Wood

58 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Wood United States 21 594 563 302 248 184 61 1.3k
Mirjam Langeveld Netherlands 23 612 1.0× 872 1.5× 330 1.1× 316 1.3× 156 0.8× 78 1.5k
Bénédicte Héron France 23 527 0.9× 554 1.0× 99 0.3× 405 1.6× 263 1.4× 65 1.6k
William S. Garver United States 21 434 0.7× 952 1.7× 238 0.8× 209 0.8× 83 0.5× 38 1.5k
Adolf Mühl Austria 20 382 0.6× 503 0.9× 399 1.3× 140 0.6× 446 2.4× 44 1.4k
Klary E. Niezen‐Koning Netherlands 22 709 1.2× 930 1.7× 196 0.6× 367 1.5× 522 2.8× 59 1.8k
Giulia Polo Italy 17 248 0.4× 589 1.0× 151 0.5× 200 0.8× 228 1.2× 29 871
Misao Ōwada Japan 19 343 0.6× 470 0.8× 216 0.7× 140 0.6× 126 0.7× 70 1.3k
B. J. H. M. Poorthuis Netherlands 13 342 0.6× 432 0.8× 159 0.5× 191 0.8× 94 0.5× 30 915
Can Fıçıcıoğlu United States 23 790 1.3× 551 1.0× 170 0.6× 154 0.6× 890 4.8× 102 1.7k
Wenjuan Qiu China 22 730 1.2× 378 0.7× 94 0.3× 142 0.6× 606 3.3× 146 1.5k

Countries citing papers authored by Tim Wood

Since Specialization
Citations

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

Fields of papers citing papers by Tim Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Wood

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Wood. A scholar is included among the top collaborators of Tim Wood 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 Tim Wood. Tim Wood 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.
Larson, Austin, Naomi Meeks, Marisa W. Friederich, et al.. (2024). An integrated multi-omics approach allowed ultra-rapid diagnosis of a deep intronic pathogenic variant in PDHX and precision treatment in a neonate critically ill with lactic acidosis. Mitochondrion. 79. 101973–101973. 2 indexed citations
2.
Yu, Seok‐Ho, Francyne Kubaski, Gavin Arno, et al.. (2024). Functional assessment of IDUA variants of uncertain significance identified by newborn screening. npj Genomic Medicine. 9(1). 68–68. 1 indexed citations
3.
Wood, Tim, et al.. (2023). IDENTIFICATION OF ECHS1 DEFICIENCY USING PLASMA ACYLCARNITINE ANALYSIS. Molecular Genetics and Metabolism. 138(3). 107401–107401.
4.
Vainre, Maris, Tim Dalgleish, A. Kirkpatrick, et al.. (2022). Mindfulness training for work performance: A systematic review and meta-analysis of randomised controlled trials. PsyArXiv (OSF Preprints). 1 indexed citations
5.
Strovel, Erin T., Kristina Cusmano‐Ozog, Tim Wood, & Chunli Yu. (2022). Measurement of lysosomal enzyme activities: A technical standard of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 24(4). 769–783. 11 indexed citations
6.
Sohn, Young Bae, Curtis Rogers, Tim Wood, et al.. (2022). RNA analysis of the GALNS transcript reveals novel pathogenic mechanisms associated with Morquio syndrome A. Molecular Genetics and Metabolism Reports. 31. 100875–100875. 1 indexed citations
7.
Gupta, Ashish O., Marc C. Patterson, Tim Wood, et al.. (2021). Hematopoietic cell transplantation for sialidosis type I. Molecular Genetics and Metabolism Reports. 30. 100832–100832. 2 indexed citations
8.
Radenkovic, Silvia, Seul Kee Byeon, Anil K. Madugundu, et al.. (2020). Expanding the clinical and metabolic phenotype of DPM2 deficient congenital disorders of glycosylation. Molecular Genetics and Metabolism. 132(1). 27–37. 13 indexed citations
9.
10.
Leroy, Jules G., Priya S. Kishnani, Jochen Decaestecker, et al.. (2016). New observation of sialuria prompts detection of liver tumor in previously reported patient. Molecular Genetics and Metabolism. 118(2). 92–99. 2 indexed citations
11.
Ng, Bobby G., Kimiyo Raymond, Martin Kircher, et al.. (2015). Expanding the Molecular and Clinical Phenotype of SSR4-CDG. Human Mutation. 36(11). 1048–1051. 25 indexed citations
12.
Bodamer, Olaf A., Roberto Giugliani, & Tim Wood. (2014). The laboratory diagnosis of mucopolysaccharidosis III (Sanfilippo syndrome): A changing landscape. Molecular Genetics and Metabolism. 113(1-2). 34–41. 18 indexed citations
14.
Zhang, Zhe, Joy Norris, Vera M. Kalscheuer, et al.. (2013). A Y328C missense mutation in spermine synthase causes a mild form of Snyder–Robinson syndrome. Human Molecular Genetics. 22(18). 3789–3797. 31 indexed citations
15.
Leroy, Jules G., David O. Sillence, Tim Wood, et al.. (2013). A novel intermediate mucolipidosis II/IIIαβ caused by GNPTAB mutation in the cytosolic N-terminal domain. European Journal of Human Genetics. 22(5). 594–601. 17 indexed citations
16.
17.
Sowell, John, Laura Pollard, & Tim Wood. (2011). Quantification of branched‐chain amino acids in blood spots and plasma by liquid chromatography tandem mass spectrometry for the diagnosis of maple syrup urine disease. Journal of Separation Science. 34(6). 631–639. 20 indexed citations
18.
Ikeguchi, Yoshihiko, Cindy Skinner, Tim Wood, et al.. (2003). X-linked spermine synthase gene (SMS) defect: the first polyamine deficiency syndrome. European Journal of Human Genetics. 11(12). 937–944. 136 indexed citations
19.
Li, Peining, Tim Wood, & Jerry N. Thompson. (2002). Diversity of mutations and distribution of single nucleotide polymorphic alleles in the human α-l-iduronidase (IDUA) gene. Genetics in Medicine. 4(6). 420–426. 33 indexed citations
20.
Salomons, Gajja S., Tim Wood, Harold A. Taylor, et al.. (2002). X-Linked Mental Retardation with Seizures and Carrier Manifestations Is Caused by a Mutation in the Creatine-Transporter Gene (SLC6A8) Located in Xq28. The American Journal of Human Genetics. 70(5). 1349–1356. 81 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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