Ingrid Catz

2.2k total citations
37 papers, 1.8k citations indexed

About

Ingrid Catz is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Ingrid Catz has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pathology and Forensic Medicine, 15 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Molecular Biology. Recurrent topics in Ingrid Catz's work include Multiple Sclerosis Research Studies (24 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Peripheral Neuropathies and Disorders (7 papers). Ingrid Catz is often cited by papers focused on Multiple Sclerosis Research Studies (24 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Peripheral Neuropathies and Disorders (7 papers). Ingrid Catz collaborates with scholars based in Canada, United States and India. Ingrid Catz's co-authors include Kenneth G. Warren, Lawrence Steinman, Kai W. Wucherpfennig, Edward S. Johnson, William H. Robinson, Jennifer L. Kanter, Peggy P. Ho, Raymond A. Sobel, Mark J. Krantz and Stefan Hausmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Ingrid Catz

37 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingrid Catz Canada 21 862 715 550 489 353 37 1.8k
John N. Whitaker United States 17 696 0.8× 418 0.6× 514 0.9× 213 0.4× 410 1.2× 44 1.7k
J. Paul Banga United Kingdom 33 633 0.7× 789 1.1× 812 1.5× 505 1.0× 234 0.7× 128 3.3k
M W Kies United States 15 331 0.4× 635 0.9× 661 1.2× 191 0.4× 149 0.4× 30 1.6k
Diego Franciotta Italy 15 844 1.0× 509 0.7× 316 0.6× 65 0.1× 368 1.0× 20 1.8k
Gary J. Williams United States 19 517 0.6× 499 0.7× 441 0.8× 54 0.1× 152 0.4× 29 1.6k
Volker Siffrin Germany 22 586 0.7× 717 1.0× 434 0.8× 84 0.2× 152 0.4× 50 1.8k
N Patronas United States 20 411 0.5× 127 0.2× 311 0.6× 565 1.2× 743 2.1× 27 2.5k
Tatiana Plavina United States 22 1.4k 1.7× 480 0.7× 350 0.6× 113 0.2× 444 1.3× 46 2.6k
Catherine Agoropoulou Switzerland 5 1.6k 1.8× 352 0.5× 942 1.7× 47 0.1× 536 1.5× 7 2.2k
Ana de Vera Switzerland 11 1.6k 1.9× 454 0.6× 1.0k 1.9× 46 0.1× 535 1.5× 17 2.3k

Countries citing papers authored by Ingrid Catz

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Catz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingrid Catz

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid Catz. A scholar is included among the top collaborators of Ingrid Catz 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 Ingrid Catz. Ingrid Catz 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.
Giuliani, Fabrizio, Ingrid Catz, Edward S. Johnson, Lothar Resch, & Kenneth G. Warren. (2011). Loss of Purkinje Cells is Associated with Demyelination in Multiple Sclerosis. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 38(3). 529–531. 4 indexed citations
2.
Lebel, R. Marc, Anna Zavodni, Kenneth G. Warren, et al.. (2009). Detecting lesions in multiple sclerosis at 4.7 tesla using phase susceptibility‐weighting and T2‐weighting. Journal of Magnetic Resonance Imaging. 30(4). 737–742. 36 indexed citations
4.
O’Connor, Kevin C., Heiner Appel, Lisa Bregoli, et al.. (2005). Antibodies from Inflamed Central Nervous System Tissue Recognize Myelin Oligodendrocyte Glycoprotein. The Journal of Immunology. 175(3). 1974–1982. 132 indexed citations
5.
Kanter, Jennifer L., Peggy P. Ho, Ingrid Catz, et al.. (2005). Lipid microarrays identify key mediators of autoimmune brain inflammation. Nature Medicine. 12(1). 138–143. 268 indexed citations
7.
Wucherpfennig, Kai W., Ingrid Catz, Stefan Hausmann, et al.. (1997). Recognition of the immunodominant myelin basic protein peptide by autoantibodies and HLA-DR2-restricted T cell clones from multiple sclerosis patients. Identity of key contact residues in the B-cell and T-cell epitopes.. Journal of Clinical Investigation. 100(5). 1114–1122. 161 indexed citations
8.
Warren, Kenneth G. & Ingrid Catz. (1997). The effect of intrathecal MBP synthetic peptides containing epitope P85VVHFFKNIVTP96 on free anti-MBP levels in acute relapsing multiple sclerosis. Journal of the Neurological Sciences. 148(1). 67–78. 8 indexed citations
9.
Warren, Kenneth G., Ingrid Catz, & Kai W. Wucherpfennig. (1997). Tolerance induction to myelin basic protein by intravenous synthetic peptides containing epitope P85VVHFFKNIVTP96 in chronic progressive multiple sclerosis. Journal of the Neurological Sciences. 152(1). 31–38. 57 indexed citations
10.
Warren, Kenneth G. & Ingrid Catz. (1995). Administration of myelin basic protein synthetic peptides to multiple sclerosis patients. Journal of the Neurological Sciences. 133(1-2). 85–94. 16 indexed citations
11.
Warren, Kenneth G., Ingrid Catz, Edward S. Johnson, & Bruce W. Mielke. (1994). Anti‐myelin basic protein and anti‐proteolipid protein specific forms of multiple sclerosis. Annals of Neurology. 35(3). 280–289. 86 indexed citations
12.
Warren, Kenneth G. & Ingrid Catz. (1993). Autoantibodies to myelin basic protein within multiple sclerosis central nervous system tissue. Journal of the Neurological Sciences. 115(2). 169–176. 40 indexed citations
13.
Warren, Kenneth G. & Ingrid Catz. (1993). Increased synthetic peptide specificity of tissue-CSF bound anti-MBP in multiple sclerosis. Journal of Neuroimmunology. 43(1-2). 87–96. 23 indexed citations
14.
Warren, Kenneth G. & Ingrid Catz. (1992). Synthetic peptide specificity of anti-myelin basic protein from multiple sclerosis cerebrospinal fluid. Journal of Neuroimmunology. 39(1-2). 81–89. 16 indexed citations
16.
Warren, Kenneth G. & Ingrid Catz. (1990). A myelin basic protein antibody cascade in purified IgG from cerebrospinal fluid of multiple sclerosis patients. Journal of the Neurological Sciences. 96(1). 19–27. 21 indexed citations
17.
Warren, Kenneth G. & Ingrid Catz. (1989). Cerebrospinal fluid autoantibodies to myelin basic protein in multiple sclerosis patients. Journal of the Neurological Sciences. 91(1-2). 143–151. 28 indexed citations
18.
Warren, Kenneth G. & Ingrid Catz. (1988). Neutralization of anti-myelin basic protein by cerebrospinal fluid of multiple sclerosis patients in clinical remission. Journal of the Neurological Sciences. 88(1-3). 185–194. 13 indexed citations
20.
Warren, Kenneth G. & Ingrid Catz. (1985). The relationship between levels of cerebrospinal fluid myelin basis protein and IgG measurements in patients with multiple sclerosis. Annals of Neurology. 17(5). 475–480. 21 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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