F Fernández-Madrid

1.5k total citations
36 papers, 1.3k citations indexed

About

F Fernández-Madrid is a scholar working on Rheumatology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, F Fernández-Madrid has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Rheumatology, 9 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in F Fernández-Madrid's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Glycosylation and Glycoproteins Research (4 papers). F Fernández-Madrid is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Glycosylation and Glycoproteins Research (4 papers). F Fernández-Madrid collaborates with scholars based in United States, China and Canada. F Fernández-Madrid's co-authors include Robert L. Karvonen, Peter Miller, William Negendank, Robert A. Teitge, J. L. Granda, John E. Tomkiel, Ananda S. Prasad, Donald Oberleas, Martha Mattioli and Dorothy A. Nelson and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Cancer Research.

In The Last Decade

F Fernández-Madrid

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F Fernández-Madrid United States 19 555 341 337 256 213 36 1.3k
W. Mohr Germany 17 517 0.9× 274 0.8× 446 1.3× 211 0.8× 224 1.1× 159 1.6k
Gernot Keyszer Germany 18 683 1.2× 441 1.3× 140 0.4× 125 0.5× 269 1.3× 24 1.5k
P A Guerne Switzerland 10 969 1.7× 343 1.0× 199 0.6× 114 0.4× 302 1.4× 17 1.8k
Tomokazu Ohnishi Japan 24 177 0.3× 778 2.3× 212 0.6× 86 0.3× 205 1.0× 53 1.6k
Y Yutani Japan 14 394 0.7× 262 0.8× 174 0.5× 47 0.2× 116 0.5× 34 827
T. E. Cawston United Kingdom 18 610 1.1× 317 0.9× 165 0.5× 87 0.3× 133 0.6× 28 1.6k
C. G. Woods United Kingdom 21 255 0.5× 265 0.8× 235 0.7× 84 0.3× 132 0.6× 50 1.3k
P. W. Thompson United Kingdom 18 199 0.4× 261 0.8× 399 1.2× 44 0.2× 144 0.7× 28 974
Donna D. Smith United States 8 271 0.5× 663 1.9× 147 0.4× 79 0.3× 322 1.5× 10 1.6k
Ryu Terauchi Japan 18 266 0.5× 390 1.1× 258 0.8× 47 0.2× 58 0.3× 50 964

Countries citing papers authored by F Fernández-Madrid

Since Specialization
Citations

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

Fields of papers citing papers by F Fernández-Madrid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F Fernández-Madrid. 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 F Fernández-Madrid. The network helps show where F Fernández-Madrid may publish in the future.

Co-authorship network of co-authors of F Fernández-Madrid

This figure shows the co-authorship network connecting the top 25 collaborators of F Fernández-Madrid. A scholar is included among the top collaborators of F Fernández-Madrid 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 F Fernández-Madrid. F Fernández-Madrid 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.
Giordo, Roberta, Erica L. Kleinbrink, Lawrence I. Grossman, et al.. (2023). Non-coding regions of nuclear-DNA-encoded mitochondrial genes and intergenic sequences are targeted by autoantibodies in breast cancer. Frontiers in Genetics. 13. 970619–970619. 1 indexed citations
2.
Talwar, Harvinder, Rita Rosati, Jia Li, et al.. (2015). Development of a T7 Phage Display Library to Detect Sarcoidosis and Tuberculosis by a Panel of Novel Antigens. EBioMedicine. 2(4). 341–350. 17 indexed citations
3.
Fernández-Madrid, F, et al.. (2014). Autoantibodies in Breast Cancer. Advances in clinical chemistry. 64. 221–240. 6 indexed citations
4.
Zhang, Xinbo, Jiang Hu, Anil Wali, et al.. (2011). New Insight into the Molecular Mechanisms of the Biological Effects of DNA Minor Groove Binders. PLoS ONE. 6(10). e25822–e25822. 18 indexed citations
5.
Fernández-Madrid, F, et al.. (2010). Rare Cause of Thoracic Myelopathy. JCR Journal of Clinical Rheumatology. 16(7). 326–329. 1 indexed citations
6.
Fernández-Madrid, F. (2005). Autoantibodies in breast cancer sera: candidate biomarkers and reporters of tumorigenesis. Cancer Letters. 230(2). 187–198. 100 indexed citations
7.
Fernández-Madrid, F & John E. Tomkiel. (2000). Antinuclear Antibodies as Potential Markers of Lung Cancer. Elsevier eBooks. 5(6). 151–158. 56 indexed citations
8.
Karvonen, Robert L., Peter Miller, Dorothy A. Nelson, J. L. Granda, & F Fernández-Madrid. (1998). Periarticular osteoporosis in osteoarthritis of the knee.. PubMed. 25(11). 2187–94. 91 indexed citations
9.
Affholter, Joseph A., et al.. (1997). T Cell Receptor (VR) Bias in the Response of Rheumatoid Arthritis Synovial Fluid T Cells to Connective Tissue Antigens. Scandinavian Journal of Rheumatology. 26(3). 166–173. 13 indexed citations
10.
Fernández-Madrid, F, et al.. (1995). Synovial thickening detected by MR imaging in osteoarthritis of the knee confirmed by biopsy as synovitis. Magnetic Resonance Imaging. 13(2). 177–183. 180 indexed citations
11.
Wooley, Paul H., Sudha Sud, Zheng Song, et al.. (1995). Oligoclonal T‐Receptor (Vβ) Use in the Response to Connective Tissue Antigens by Synovial Fluid T‐Cells from Rheumatoid Arthritis Patients. Annals of the New York Academy of Sciences. 756(1). 195–198. 2 indexed citations
12.
Fernández-Madrid, F, et al.. (1994). MR features of osteoarthritis of the knee. Magnetic Resonance Imaging. 12(5). 703–709. 68 indexed citations
13.
Karvonen, Robert L., et al.. (1992). Proteoglycans from Osteoarthritic Human Articular Cartilage Influence Type II CollagenIn VitroFibrillogenesis. Connective Tissue Research. 27(4). 235–250. 25 indexed citations
14.
Negendank, William, F Fernández-Madrid, Lance K. Heilbrun, & Robert A. Teitge. (1990). Magnetic resonance imaging of meniscal degeneration in asymptomatic knees. Journal of Orthopaedic Research®. 8(3). 311–320. 42 indexed citations
15.
Karvonen, Robert L., F Fernández-Madrid, Richard L. Maughan, Kenneth C. Palmer, & Ivan Fernandez‐Madrid. (1987). An Animal Model of Pulmonary Radiation Fibrosis with Biochemical, Physiologic, Immunologic, and Morphologic Observations. Radiation Research. 111(1). 68–68. 27 indexed citations
16.
Fernández-Madrid, F, et al.. (1985). Influence of antecedent lymphoid surgery on the odds of acquiring rheumatoid arthritis.. PubMed. 12(1). 43–8. 20 indexed citations
17.
Fernández-Madrid, F, et al.. (1982). Coexistence of chronic tophaceous gout and rheumatoid arthritis.. PubMed. 8(6). 989–92. 11 indexed citations
18.
Birk, David E., Mauricio A. Lande, & F Fernández-Madrid. (1981). Collagen and glycosaminoglycan synthesis in aging human keratocyte cultures. Experimental Eye Research. 32(3). 331–339. 15 indexed citations
19.
Fernández-Madrid, F, et al.. (1980). Intracellular processing of procollagen induced by the action of colchicine.. PubMed. 130(Pt 2). 229–41. 14 indexed citations
20.
Fernández-Madrid, F & Martha Mattioli. (1976). Antinuclear antibodies (ANA): Immunologic and clinical significance. Seminars in Arthritis and Rheumatism. 6(2). 83–124. 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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