Martin Braddock

5.1k total citations
131 papers, 3.7k citations indexed

About

Martin Braddock is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Martin Braddock has authored 131 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 31 papers in Epidemiology and 21 papers in Surgery. Recurrent topics in Martin Braddock's work include Liver Disease Diagnosis and Treatment (21 papers), Spaceflight effects on biology (13 papers) and HIV Research and Treatment (13 papers). Martin Braddock is often cited by papers focused on Liver Disease Diagnosis and Treatment (21 papers), Spaceflight effects on biology (13 papers) and HIV Research and Treatment (13 papers). Martin Braddock collaborates with scholars based in United Kingdom, China and United States. Martin Braddock's co-authors include Callum J. Campbell, Susan M. Kingsman, Ming‐Hua Zheng, Alan J. Kingsman, P Houston, Anthony Quinn, Gui‐Qi Zhu, Keqing Shi, Sally E. Adams and Jean-Luc Schwachtgen and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Martin Braddock

128 papers receiving 3.6k 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 Braddock United Kingdom 37 1.4k 715 516 415 397 131 3.7k
Lin Shen China 32 1.3k 0.9× 550 0.8× 562 1.1× 235 0.6× 42 0.1× 173 3.6k
Gianluca Fossati Italy 32 2.5k 1.8× 523 0.7× 1.6k 3.0× 370 0.9× 278 0.7× 101 4.8k
Luís Eduardo Coelho Andrade Brazil 44 1.8k 1.3× 1.1k 1.6× 1.7k 3.2× 317 0.8× 106 0.3× 244 6.5k
Carlos López‐Larrea Spain 48 1.8k 1.3× 764 1.1× 3.5k 6.8× 586 1.4× 81 0.2× 221 7.1k
Elia J. Duh United States 49 3.8k 2.7× 833 1.2× 1.5k 2.9× 399 1.0× 107 0.3× 103 9.7k
Lloyd B. Klickstein United States 43 1.5k 1.1× 561 0.8× 2.7k 5.2× 283 0.7× 75 0.2× 88 5.8k
Adam Lacy‐Hulbert United States 35 1.9k 1.4× 739 1.0× 2.7k 5.3× 531 1.3× 140 0.4× 71 6.0k
Daisuke Okuzaki Japan 38 2.4k 1.8× 465 0.7× 1000 1.9× 341 0.8× 53 0.1× 248 4.6k
Marco Marchisio Italy 43 2.5k 1.8× 247 0.3× 638 1.2× 810 2.0× 81 0.2× 162 5.0k
Giulia d’Amati Italy 45 2.4k 1.8× 686 1.0× 435 0.8× 745 1.8× 42 0.1× 212 6.2k

Countries citing papers authored by Martin Braddock

Since Specialization
Citations

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

Fields of papers citing papers by Martin Braddock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Braddock

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Braddock. A scholar is included among the top collaborators of Martin Braddock 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 Braddock. Martin Braddock 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.
Szocik, Konrad, Mark Shelhamer, Martin Braddock, et al.. (2021). Future space missions and human enhancement: Medical and ethical challenges. Futures. 133. 102819–102819. 16 indexed citations
2.
Szocik, Konrad, Chris Impey, Mark Shelhamer, et al.. (2020). Visions of a Martian future. Futures. 117. 102514–102514. 14 indexed citations
3.
Liu, Wen‐Yue, Shigang Lin, Liren Wang, et al.. (2016). Platelet-to-Lymphocyte Ratio. Medicine. 95(4). e2596–e2596. 24 indexed citations
4.
Brightling, Christopher E., Lars H. Nordenmark, Meena Jain, et al.. (2016). Effect of Anti–IL-13 Treatment on Airway Dimensions in Severe Asthma. American Journal of Respiratory and Critical Care Medicine. 194(1). 118–120. 10 indexed citations
5.
Zou, Hai, et al.. (2016). Toll-like receptors in hepatocellular carcinoma: potential novel targets for pharmacological intervention. Expert Opinion on Therapeutic Targets. 20(9). 1127–1135. 15 indexed citations
6.
Zhu, Gui‐Qi, Keqing Shi, Sha Huang, et al.. (2015). Network Meta-Analysis of Randomized Controlled Trials. Medicine. 94(11). e609–e609. 17 indexed citations
7.
You, Jie, Sha Huang, Guiqian Huang, et al.. (2015). Nonalcoholic Fatty Liver Disease. Medicine. 94(5). e479–e479. 22 indexed citations
8.
Wu, Shengjie, Gui‐Qi Zhu, Bozhi Ye, et al.. (2015). Association Between Sex-Specific Serum Uric Acid and Non-Alcoholic Fatty Liver Disease in Chinese Adults. Medicine. 94(17). e802–e802. 56 indexed citations
9.
Wu, Shengjie, Hai Zou, Gui‐Qi Zhu, et al.. (2015). Increased Levels of Systolic Blood Pressure Within the Normal Range Are Associated With Significantly Elevated Risks of Nonalcoholic Fatty Liver Disease. Medicine. 94(19). e842–e842. 36 indexed citations
10.
Wang, Liren, Liangliang Pan, Hui Wang, et al.. (2015). Kidney bioengineering in regenerative medicine: An emerging therapy for kidney disease. Cytotherapy. 18(2). 186–197. 14 indexed citations
11.
Wang, Liren, Jiangtao Wang, Liangliang Pan, et al.. (2015). Recent advances in re-engineered liver: de-cellularization and re-cellularization techniques. Cytotherapy. 17(8). 1015–1024. 6 indexed citations
12.
Huang, Sha, Guiqian Huang, Gui‐Qi Zhu, et al.. (2015). Establishment and Validation of SSCLIP Scoring System to Estimate Survival in Hepatocellular Carcinoma Patients Who Received Curative Liver Resection. PLoS ONE. 10(6). e0129000–e0129000. 18 indexed citations
13.
Braddock, Martin. (2007). 11th Annual Inflammatory and Immune Diseases Drug Discovery and Development Summit. Expert Opinion on Investigational Drugs. 16(6). 909–917. 14 indexed citations
14.
Braddock, Martin. (2006). Overcoming resistance with designer immunotoxins. Expert Opinion on Pharmacotherapy. 7(10). 1409–1412. 2 indexed citations
15.
Francis, Sheila, Kim Suvarna, Stephen J. Blakemore, et al.. (2005). Differential gene expression in coronary arteries from patients presenting with ischemic heart disease: Further evidence for the inflammatory basis of atherosclerosis. American Heart Journal. 150(3). 488–499. 43 indexed citations
16.
Alcaraz, Lilian, Andrew Baxter, Keith Bowers, et al.. (2003). Novel P2X7 receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 13(22). 4043–4046. 52 indexed citations
17.
Gunkel, Nikolas, Martin Braddock, Andrew Thorburn, et al.. (1995). Promoter control of translation inXenopus oocytes. Nucleic Acids Research. 23(3). 405–412. 18 indexed citations
18.
Braddock, Martin, et al.. (1995). Requirement for HIV-1 TAR sequences for Tat activation in rodent cells. Virology. 206(1). 690–694. 5 indexed citations
19.
Baker, Bernadette, Martina U. Muckenthaler, Éric Vivès, et al.. (1994). Identification of a novel HIV-1 TAR RNA bulge binding protein. Nucleic Acids Research. 22(16). 3365–3372. 17 indexed citations
20.
Adams, Sally E., et al.. (1988). Synthesis of a gene for the HIV transactivator protein TAT by a novel single stranded approach involvingin vivogap repair. Nucleic Acids Research. 16(10). 4287–4298. 44 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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