Martin Waterfall

1.4k total citations
39 papers, 1.1k citations indexed

About

Martin Waterfall is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Martin Waterfall has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 13 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Martin Waterfall's work include Pluripotent Stem Cells Research (8 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Immunotherapy and Immune Responses (4 papers). Martin Waterfall is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Immunotherapy and Immune Responses (4 papers). Martin Waterfall collaborates with scholars based in United Kingdom, United States and Spain. Martin Waterfall's co-authors include Eleanor M. Riley, M. McIntyre, Della Cole, J. D. Baird, Kay Samuel, M Pinder, Anthony A. Holder, Andrea Egan, Ronald Pethig and D. J. Argyle and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Martin Waterfall

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Waterfall United Kingdom 20 390 298 257 213 138 39 1.1k
Luis Ugozzoli United States 12 726 1.9× 98 0.3× 79 0.3× 286 1.3× 71 0.5× 24 1.5k
William P. Halford United States 28 637 1.6× 872 2.9× 123 0.5× 418 2.0× 243 1.8× 54 2.4k
Neil C. Talbot United States 24 1.3k 3.4× 168 0.6× 399 1.6× 681 3.2× 108 0.8× 74 2.0k
Anne E. Peaston Australia 20 993 2.5× 98 0.3× 141 0.5× 358 1.7× 108 0.8× 46 1.6k
Isabelle Blanc France 17 1.0k 2.6× 287 1.0× 187 0.7× 144 0.7× 108 0.8× 30 1.7k
Pierre‐Henri Commère France 16 817 2.1× 253 0.8× 112 0.4× 132 0.6× 122 0.9× 30 1.3k
Qi Qin China 20 670 1.7× 469 1.6× 60 0.2× 161 0.8× 181 1.3× 34 1.3k
Igor Jurak Croatia 18 663 1.7× 348 1.2× 42 0.2× 127 0.6× 114 0.8× 29 1.5k
Jacek Kowalski Poland 19 299 0.8× 205 0.7× 53 0.2× 124 0.6× 141 1.0× 64 985
Janis J. Weis United States 6 512 1.3× 322 1.1× 60 0.2× 107 0.5× 360 2.6× 6 1.4k

Countries citing papers authored by Martin Waterfall

Since Specialization
Citations

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

Fields of papers citing papers by Martin Waterfall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Waterfall

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Waterfall. A scholar is included among the top collaborators of Martin Waterfall 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 Martin Waterfall. Martin Waterfall 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.
Huang, Shuyu, et al.. (2023). Mouse IgG2a Isotype Therapeutic Antibodies Elicit Superior Tumor Growth Control Compared with mIgG1 or mIgE. Cancer Research Communications. 3(1). 109–118. 2 indexed citations
2.
Morley, Steven D., Kay Samuel, Martin Waterfall, et al.. (2023). Metabolism of Acetaminophen by Enteric Epithelial Cells Mitigates Hepatocellular Toxicity In Vitro. Journal of Clinical Medicine. 12(12). 3995–3995. 2 indexed citations
3.
4.
Waterfall, Martin, et al.. (2022). Production of kidney organoids arranged around single ureteric bud trees, and containing endogenous blood vessels, solely from embryonic stem cells. Scientific Reports. 12(1). 12573–12573. 10 indexed citations
5.
Mackintosh, Alexander, Dominik R. Laetsch, Alexander Hayward, et al.. (2019). The determinants of genetic diversity in butterflies. Nature Communications. 10(1). 3466–3466. 76 indexed citations
6.
Clarkson, Yvonne L., Martin Waterfall, Cheryl E. Dunlop, et al.. (2018). Initial characterisation of adult human ovarian cell populations isolated by DDX4 expression and aldehyde dehydrogenase activity. Scientific Reports. 8(1). 6953–6953. 52 indexed citations
7.
8.
Malik, Poonam, Nikolaj Zuleger, Jose I. de las Heras, et al.. (2014). NET23/STING Promotes Chromatin Compaction from the Nuclear Envelope. PLoS ONE. 9(11). e111851–e111851. 21 indexed citations
9.
Waterfall, Martin, et al.. (2011). CD44 is associated with proliferation, rather than a specific cancer stem cell population, in cultured canine cancer cells. Veterinary Immunology and Immunopathology. 141(1-2). 46–57. 27 indexed citations
10.
Waterfall, Martin, et al.. (2011). Flow cytometric techniques for detection of candidate cancer stem cell subpopulations in canine tumour models. Veterinary and Comparative Oncology. 10(4). 252–273. 14 indexed citations
11.
Korfali, Nadia, Vlastimil Sršeň, Martin Waterfall, et al.. (2011). A Flow Cytometry-Based Screen of Nuclear Envelope Transmembrane Proteins Identifies NET4/Tmem53 as Involved in Stress-Dependent Cell Cycle Withdrawal. PLoS ONE. 6(4). e18762–e18762. 21 indexed citations
12.
Waterfall, Martin, et al.. (2011). Dielectrophoretic Characterisation of Mammalian Cells above 100 MHz. SHILAP Revista de lepidopterología. 2(1). 64–71. 26 indexed citations
13.
Thomson, Alison J., Davina Wojtacha, Zoë Hewitt, et al.. (2008). Human Embryonic Stem Cells Passaged Using Enzymatic Methods Retain a Normal Karyotype and Express CD30. Cloning and Stem Cells. 10(1). 89–106. 25 indexed citations
14.
Aldhous, Marian C., et al.. (2008). Does nicotine influence cytokine profile and subsequent cell cycling/apoptotic responses in inflammatory bowel disease?. Inflammatory Bowel Diseases. 14(11). 1469–1482. 23 indexed citations
15.
Aït-Ali, Tahar, David G. Westcott, Martin Waterfall, et al.. (2007). Innate Immune Responses to Replication of Porcine Reproductive And Respiratory Syndrome Virus in Isolated Swine Alveolar Macrophages. Viral Immunology. 20(1). 105–118. 84 indexed citations
16.
Hewitt, Zoë, Nicholas R. Forsyth, Martin Waterfall, et al.. (2006). Fluorescence-Activated Single Cell Sorting of Human Embryonic Stem Cells. Cloning and Stem Cells. 8(3). 225–234. 19 indexed citations
17.
Sullivan, Stephen, et al.. (2006). Quantification of Cell Fusion by Flow Cytometry. Humana Press eBooks. 325. 81–98. 7 indexed citations
18.
Akanmori, Bartholomew D., et al.. (2001). Changes in cytokine production associated with acquired immunity toPlasmodium falciparummalaria. Clinical & Experimental Immunology. 126(3). 503–510. 49 indexed citations
19.
Mann, David R., Stephen F. Lunn, Mukaila A. Akinbami, et al.. (1999). Effect of Neonatal Treatment with a GnRH Antagonist on Development of the Cell‐Mediated Immune Response in Marmosets. American Journal of Reproductive Immunology. 42(3). 175–186. 8 indexed citations
20.
Cole, Della, Martin Waterfall, L. Ashworth, Adrian J. Bone, & J D Baird. (1993). Metabolic Control in Streptozotocin Diabetic Rats Following Transplantation of Microencapsulated Pancreatic Islets. Hormone and Metabolic Research. 25(11). 553–556. 1 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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