Joan Feichter

774 total citations
8 papers, 594 citations indexed

About

Joan Feichter is a scholar working on Pathology and Forensic Medicine, Rheumatology and Molecular Biology. According to data from OpenAlex, Joan Feichter has authored 8 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 3 papers in Rheumatology and 2 papers in Molecular Biology. Recurrent topics in Joan Feichter's work include Multiple Sclerosis Research Studies (6 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Joan Feichter is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Joan Feichter collaborates with scholars based in United States. Joan Feichter's co-authors include Bianca Weinstock‐Guttman, Murali Ramanathan, Monika Baier, Kara Patrick, Eileen Gallagher, Darlene Badgett, Rohit Bakshi, Jitendra Sharma, Norah S. Lincoff and Frederick Munschauer and has published in prestigious journals such as The Journal of Immunology, Journal of Neuroimmunology and Multiple Sclerosis Journal.

In The Last Decade

Joan Feichter

8 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan Feichter United States 8 394 149 140 138 111 8 594
M. Gironi Italy 15 145 0.4× 90 0.6× 231 1.6× 40 0.3× 91 0.8× 26 578
Roberta Fantozzi Italy 12 347 0.9× 106 0.7× 155 1.1× 93 0.7× 116 1.0× 26 619
Lucía Ayuso‐Peralta Spain 14 174 0.4× 208 1.4× 104 0.7× 50 0.4× 53 0.5× 33 470
Silvana Montella Italy 8 129 0.3× 83 0.6× 61 0.4× 38 0.3× 162 1.5× 13 409
Laura Bărcuţean Romania 12 110 0.3× 133 0.9× 160 1.1× 32 0.2× 75 0.7× 42 528
Kesav Raghavan United States 8 67 0.2× 213 1.4× 145 1.0× 30 0.2× 38 0.3× 17 465
Weibin Lin China 10 83 0.2× 83 0.6× 229 1.6× 15 0.1× 56 0.5× 24 555
José C. Utrilla Spain 13 57 0.1× 14 0.1× 123 0.9× 32 0.2× 50 0.5× 27 467
Gang Lv China 18 263 0.7× 43 0.3× 272 1.9× 8 0.1× 22 0.2× 28 689
Li Du China 12 106 0.3× 94 0.6× 194 1.4× 28 0.2× 145 1.3× 31 595

Countries citing papers authored by Joan Feichter

Since Specialization
Citations

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

Fields of papers citing papers by Joan Feichter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Feichter

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Feichter. A scholar is included among the top collaborators of Joan Feichter 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 Joan Feichter. Joan Feichter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Weinstock‐Guttman, Bianca, Darlene Badgett, Miriam Tamaño‐Blanco, et al.. (2008). Genomic effects of once-weekly, intramuscular interferon-β1a treatment after the first dose and on chronic dosing: Relationships to 5-year clinical outcomes in multiple sclerosis patients. Journal of Neuroimmunology. 205(1-2). 113–125. 29 indexed citations
2.
Weinstock‐Guttman, Bianca, Robert Zivadinov, Miriam Tamaño‐Blanco, et al.. (2007). Immune cell BDNF secretion is associated with white matter volume in multiple sclerosis. Journal of Neuroimmunology. 188(1-2). 167–174. 56 indexed citations
3.
Weinstock‐Guttman, Bianca, Murali Ramanathan, Norah S. Lincoff, et al.. (2006). Study of Mitoxantrone for the Treatment of Recurrent Neuromyelitis Optica (Devic Disease). Archives of Neurology. 63(7). 957–957. 130 indexed citations
4.
Chadha, Kailash C., Bianca Weinstock‐Guttman, Robert Zivadinov, et al.. (2006). Interferon Inhibitory Activity in Patients With Multiple Sclerosis. Archives of Neurology. 63(11). 1579–1579. 16 indexed citations
5.
Weinstock‐Guttman, Bianca, Miriam Tamaño‐Blanco, Darlene Badgett, et al.. (2006). Interferon-β modulates bone-associated cytokines and osteoclast precursor activity in multiple sclerosis patients. Multiple Sclerosis Journal. 12(5). 541–550. 31 indexed citations
6.
Weinstock‐Guttman, Bianca, Monika Baier, Youngmin Park, et al.. (2005). Low fat dietary intervention with ω-3 fatty acid supplementation in multiple sclerosis patients. Prostaglandins Leukotrienes and Essential Fatty Acids. 73(5). 397–404. 148 indexed citations
7.
Weinstock‐Guttman, Bianca, Eileen Gallagher, Monika Baier, et al.. (2004). Risk of bone loss in men with multiple sclerosis. Multiple Sclerosis Journal. 10(2). 170–175. 90 indexed citations
8.
Weinstock‐Guttman, Bianca, Darlene Badgett, Kara Patrick, et al.. (2003). Genomic Effects of IFN-β in Multiple Sclerosis Patients. The Journal of Immunology. 171(5). 2694–2702. 94 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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