K Wood

1.9k total citations
35 papers, 1.4k citations indexed

About

K Wood is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, K Wood has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Surgery. Recurrent topics in K Wood's work include RNA modifications and cancer (6 papers), RNA Research and Splicing (6 papers) and Renal Transplantation Outcomes and Treatments (5 papers). K Wood is often cited by papers focused on RNA modifications and cancer (6 papers), RNA Research and Splicing (6 papers) and Renal Transplantation Outcomes and Treatments (5 papers). K Wood collaborates with scholars based in United Kingdom, United States and South Africa. K Wood's co-authors include Richard J. Youle, Bruno Dipasquale, Shona Murphy, Michael Tellier, Michael Weller, Yan Guang-mei, Binhui Ni, Steven M. Paul, Andrew Bushell and Kei Amemiya and has published in prestigious journals such as The Lancet, Circulation and Neuron.

In The Last Decade

K Wood

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K Wood United Kingdom	17	772	359	286	136	129	35	1.4k
Timothy E. Allsopp United Kingdom	16	768 1.0×	177 0.5×	418 1.5×	168 1.2×	94 0.7×	29	1.3k
David R. Kaplan United States	11	856 1.1×	285 0.8×	154 0.5×	142 1.0×	260 2.0×	14	1.6k
Takeshi Fukuhara Japan	14	609 0.8×	520 1.4×	111 0.4×	142 1.0×	128 1.0×	26	1.5k
Gregory S. Walsh Canada	12	492 0.6×	216 0.6×	444 1.6×	165 1.2×	56 0.4×	17	1.1k
Dario Besusso Italy	17	533 0.7×	312 0.9×	211 0.7×	63 0.5×	133 1.0×	31	1.0k
Keiko Yamada Japan	23	1.2k 1.5×	387 1.1×	185 0.6×	49 0.4×	66 0.5×	48	2.0k
Christian Erck Germany	20	718 0.9×	148 0.4×	283 1.0×	70 0.5×	82 0.6×	31	1.4k
Frédéric Brau France	20	678 0.9×	759 2.1×	176 0.6×	64 0.5×	257 2.0×	40	2.1k
Ahmed M. Osman United States	24	538 0.7×	394 1.1×	110 0.4×	112 0.8×	65 0.5×	65	1.7k
Robert Shiurba Japan	20	546 0.7×	208 0.6×	112 0.4×	63 0.5×	167 1.3×	42	1.2k

Countries citing papers authored by K Wood

Since Specialization

Citations

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

Fields of papers citing papers by K Wood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Wood

This figure shows the co-authorship network connecting the top 25 collaborators of K Wood. A scholar is included among the top collaborators of K 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 K Wood. K Wood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wood, K & Anne Goriely. (2022). The impact of paternal age on new mutations and disease in the next generation. Fertility and Sterility. 118(6). 1001–1012. 29 indexed citations

Wood, K, Jamie M. Ellingford, Huw B. Thomas, et al.. (2021). Expanding the genotypic spectrum of TXNL4A variants in Burn‐McKeown syndrome. Clinical Genetics. 101(2). 255–259. 4 indexed citations

Wood, K, et al.. (2021). The Role of the U5 snRNP in Genetic Disorders and Cancer. Frontiers in Genetics. 12. 636620–636620. 31 indexed citations

Hester, Joanna, Fadi Issa, K Wood, & Peter J. Friend. (2020). The ONE Study: Evaluation of Regulatory Cell Therapy in Kidney Transplantation Using a Harmonized Trial Design. The Lancet. 2 indexed citations

Wood, K, Charlie F Rowlands, Huw B. Thomas, et al.. (2020). Modelling the developmental spliceosomal craniofacial disorder Burn-McKeown syndrome using induced pluripotent stem cells. PLoS ONE. 15(7). e0233582–e0233582. 14 indexed citations

Beaman, Glenda M., Keng Wee Teik, John A. Sayer, et al.. (2020). Early B-cell Factor 3–Related Genetic Disease Can Mimic Urofacial Syndrome. Kidney International Reports. 5(10). 1823–1827. 7 indexed citations

Beaman, Glenda M., Keng Wee Teik, Jill Urquhart, et al.. (2019). A homozygous missense variant in CHRM3 associated with familial urinary bladder disease. Clinical Genetics. 96(6). 515–520. 9 indexed citations

Landwehr-Kenzel, Sybille, Fadi Issa, Hong Lei, et al.. (2014). Novel GMP-Compatible Protocol Employing an Allogeneic B Cell Bank for Clonal Expansion of Allospecific Natural Regulatory T Cells. American Journal of Transplantation. 14(3). 594–606. 52 indexed citations

Zaitsu, Masaaki, Fadi Issa, James Hester, et al.. (2014). Anti-CD28 Antagonism Using a Monovalent Fab Antibody for the Prolongation of Human Skin Allograft Survival.. Transplantation. 98. 26–26. 1 indexed citations

10.

Oni, Tolu, Jenish Patel, Hannah P. Gideon, et al.. (2010). Enhanced diagnosis of HIV-1-associated tuberculosis by relating T-SPOT.TBand CD4 counts. European Respiratory Journal. 36(3). 594–600. 22 indexed citations

11.

Akhtar, Asim M., et al.. (2008). Magnetic Resonance Imaging Of Renal Ischemia Reperfusion Injury Using Microparticles Of Iron Oxide Targeting VCAM-1. Circulation. 118. 2 indexed citations

12.

Bushell, Andrew & K Wood. (2007). GITR Ligation Blocks Allograft Protection by Induced CD25+CD4+ Regulatory T Cells without Enhancing Effector T-Cell Function. American Journal of Transplantation. 7(4). 759–768. 47 indexed citations

13.

Hernández-Fuentes, María P., Birgit Sawitzki, Pervinder Sagoo, et al.. (2007). Biomarkers of tolerance in kidney transplants. 7. 1 indexed citations

14.

Sawitzki, Birgit, Andrew Bushell, Ulrich Steger, et al.. (2007). Identification of Gene Markers for the Prediction of Allograft Rejection or Permanent Acceptance. American Journal of Transplantation. 7(5). 1091–1102. 61 indexed citations

15.

Goping, Gertrud, K Wood, Yoshitatsu Sei, & Harvey B. Pollard. (1999). Detection of Fragmented DNA in Apoptotic Cells Embedded in LR White: A Combined Histochemical (LM) and Ultrastructural (EM) Study. Journal of Histochemistry & Cytochemistry. 47(4). 561–568. 23 indexed citations

16.

Guérette, B., K Wood, Raynald Roy, & Jacques P. Tremblay. (1997). Efficient myoblast transplantation in mice immunosuppressed with monoclonal antibodies and CTLA4 Ig. Transplantation Proceedings. 29(4). 1932–1934. 8 indexed citations

17.

Guang-mei, Yan, Binhui Ni, Michael Weller, K Wood, & Steven M. Paul. (1994). Depolarization or glutamate receptor activation blocks apoptotic cell death of cultured cerebellar granule neurons. Brain Research. 656(1). 43–51. 154 indexed citations

18.

Wood, K & Richard J. Youle. (1994). Apoptosis and Free Radicals. Annals of the New York Academy of Sciences. 738(1). 400–407. 82 indexed citations

19.

Wood, K, Janet M. Lord, Edward J. Wawrzynczak, & Michael Piatak. (1991). Preproabrin: genomic cloning, characterisation and the expression of the A‐chain in Escherichia coli. European Journal of Biochemistry. 198(3). 723–732. 38 indexed citations

20.

Bird, A. R., et al.. (1987). Inherited haemoglobin variants in a South African population.. Journal of Medical Genetics. 24(4). 215–219. 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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