David Martin

1.0k total citations
31 papers, 630 citations indexed

About

David Martin is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, David Martin has authored 31 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Surgery and 6 papers in Oncology. Recurrent topics in David Martin's work include Chronic Kidney Disease and Diabetes (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). David Martin is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). David Martin collaborates with scholars based in United States, Spain and Australia. David Martin's co-authors include Xiang Xue, Hyeoncheol Kim, Joshua A. Hanson, Jude Cassidy, Jacquelyn T. Gross, Bonnie E. Brett, Jonathan J. Mohr, Susan S. Woodhouse, Jessica Stern and K. Krishna Murthy and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Society of Nephrology and Cell Death and Differentiation.

In The Last Decade

David Martin

29 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Martin United States 12 131 131 126 124 87 31 630
Jayne S. Wilson United Kingdom 15 217 1.7× 99 0.8× 149 1.2× 234 1.9× 31 0.4× 27 1.2k
Alison Hall United Kingdom 21 117 0.9× 166 1.3× 147 1.2× 143 1.2× 26 0.3× 63 1.2k
Purna Mukhopadhyay United States 12 96 0.7× 136 1.0× 71 0.6× 116 0.9× 141 1.6× 27 679
Eleanor Rivera United States 11 184 1.4× 188 1.4× 40 0.3× 57 0.5× 51 0.6× 26 700
Hyeon Jeong South Korea 22 164 1.3× 817 6.2× 252 2.0× 165 1.3× 52 0.6× 99 1.4k
Berta Sousa Portugal 12 83 0.6× 156 1.2× 68 0.5× 237 1.9× 20 0.2× 54 580
Mei Feng China 15 128 1.0× 210 1.6× 124 1.0× 176 1.4× 17 0.2× 60 726
Severin Rodler Germany 17 89 0.7× 187 1.4× 194 1.5× 180 1.5× 16 0.2× 97 775
Rohit Gosain United States 14 50 0.4× 95 0.7× 62 0.5× 389 3.1× 21 0.2× 28 699
Li-Sheng Chen Taiwan 16 106 0.8× 175 1.3× 128 1.0× 308 2.5× 31 0.4× 34 858

Countries citing papers authored by David Martin

Since Specialization
Citations

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

Fields of papers citing papers by David Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Martin

This figure shows the co-authorship network connecting the top 25 collaborators of David Martin. A scholar is included among the top collaborators of David Martin 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 David Martin. David Martin 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.
Lavanya, G. Roopa, Hyeoncheol Kim, Sharina Palencia Desai, et al.. (2024). PINK1-deficiency facilitates mitochondrial iron accumulation and colon tumorigenesis. Autophagy. 21(4). 737–753. 8 indexed citations
2.
Agarwal, Shweta, et al.. (2023). Predicting nodal metastases in squamous cell carcinoma of the oral tongue using artificial intelligence. American Journal of Otolaryngology. 45(1). 104102–104102. 8 indexed citations
3.
Lavanya, G. Roopa, Hyeoncheol Kim, David Martin, et al.. (2023). Iron promotes glycolysis to drive colon tumorigenesis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(8). 166846–166846. 3 indexed citations
4.
Kim, Hyeoncheol, David Martin, Ho‐Joon Lee, et al.. (2023). Transferrin Receptor‐Mediated Iron Uptake Promotes Colon Tumorigenesis. Advanced Science. 10(10). e2207693–e2207693. 44 indexed citations
5.
6.
Martin, David, et al.. (2022). Evolution of renal function in patients with cT1 renal tumors after laparoscopic partial and radical nephrectomy. Predictive factors for renal function impairment. Actas Urológicas Españolas (English Edition). 46(2). 63–69. 2 indexed citations
7.
Kim, Hyeoncheol, et al.. (2021). Mitophagy protein PINK1 suppresses colon tumor growth by metabolic reprogramming via p53 activation and reducing acetyl-CoA production. Cell Death and Differentiation. 28(8). 2421–2435. 99 indexed citations
8.
9.
Olson, Garth T., et al.. (2021). Predicting nodal metastases in papillary thyroid carcinoma using artificial intelligence. The American Journal of Surgery. 222(5). 952–958. 9 indexed citations
10.
Clark, Douglas P., et al.. (2020). Comparing Deep Learning and Immunohistochemistry in Determining the Site of Origin for Well-Differentiated Neuroendocrine Tumors. Journal of Pathology Informatics. 11(1). 32–32. 8 indexed citations
11.
Martin, David, et al.. (2019). A Deep Learning Convolutional Neural Network Can Recognize Common Patterns of Injury in Gastric Pathology. Archives of Pathology & Laboratory Medicine. 144(3). 370–378. 41 indexed citations
12.
Berry, R. Stephen, et al.. (2019). SATB2 Versus CDX2: A Battle Royale for Diagnostic Supremacy in Mucinous Tumors. Archives of Pathology & Laboratory Medicine. 143(9). 1119–1125. 11 indexed citations
13.
Greenbaum, Alissa, David Martin, Thèrése Bocklage, et al.. (2019). Tumor Heterogeneity as a Predictor of Response to Neoadjuvant Chemotherapy in Locally Advanced Rectal Cancer. Clinical Colorectal Cancer. 18(2). 102–109. 27 indexed citations
14.
15.
Nostrand, Mike C., et al.. (2018). Automated repair of laser damage on National Ignition Facility optics using machine learning. 16–16. 5 indexed citations
16.
Martin, David, et al.. (2017). Crohn’s Disease: Hard to Swallow!. Digestive Diseases and Sciences. 62(10). 2690–2693. 2 indexed citations
17.
Cassidy, Jude, Bonnie E. Brett, Jacquelyn T. Gross, et al.. (2017). Circle of Security–Parenting: A randomized controlled trial in Head Start. Development and Psychopathology. 29(2). 651–673. 89 indexed citations
18.
19.
Martin, David, et al.. (2006). Creatinina sérica y aclaramiento de creatinina para la valoración de la función renal en hipertensos esenciales. Nefrología. 26(1). 64–73. 9 indexed citations
20.
Stevens, Lesley A., James H. Fleming, David Martin, et al.. (2005). Low Rates of Testing and Diagnostic Codes Usage in a Commercial Clinical Laboratory. Journal of the American Society of Nephrology. 16(8). 2439–2448. 116 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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