Larissa Spector

1.5k total citations · 1 hit paper
11 papers, 1.2k citations indexed

About

Larissa Spector is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Larissa Spector has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Immunology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Larissa Spector's work include Inflammatory Bowel Disease (5 papers), Peripheral Neuropathies and Disorders (4 papers) and Multiple Sclerosis Research Studies (4 papers). Larissa Spector is often cited by papers focused on Inflammatory Bowel Disease (5 papers), Peripheral Neuropathies and Disorders (4 papers) and Multiple Sclerosis Research Studies (4 papers). Larissa Spector collaborates with scholars based in United States, Germany and Israel. Larissa Spector's co-authors include Helena Aingorn, Israël Vlodavsky, Michael Elkin, Orit Pappo, Rivka Ishai-Michaeli, Ruth Atzmon, Menachem Bitan, Tuvia Peretz, Iris Pecker and Yael Friedmann and has published in prestigious journals such as Nature Medicine, Gastroenterology and PLoS ONE.

In The Last Decade

Larissa Spector

11 papers receiving 1.2k citations

Hit Papers

Mammalian heparanase: Gene cloning, expression and functi... 1999 2026 2008 2017 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Larissa Spector United States 8 683 597 317 199 198 11 1.2k
Bianca R. Tomasini-Johansson United States 17 461 0.7× 425 0.7× 109 0.3× 27 0.1× 266 1.3× 25 1.1k
Elena Tanghetti Italy 16 810 1.2× 266 0.4× 95 0.3× 46 0.2× 287 1.4× 23 1.3k
Daria Leali Italy 21 831 1.2× 266 0.4× 71 0.2× 32 0.2× 349 1.8× 28 1.4k
Robert I. Garver United States 24 852 1.2× 254 0.4× 514 1.6× 105 0.5× 88 0.4× 30 1.5k
Patrick A. Oberholzer Switzerland 18 887 1.3× 94 0.2× 228 0.7× 239 1.2× 467 2.4× 26 1.8k
Sima J. Zacharek United States 13 821 1.2× 77 0.1× 161 0.5× 48 0.2× 387 2.0× 16 1.2k
Rosemarie Dalchau United Kingdom 17 673 1.0× 229 0.4× 86 0.3× 54 0.3× 745 3.8× 26 1.6k
Carl T. McGary United States 16 450 0.7× 331 0.6× 53 0.2× 91 0.5× 98 0.5× 30 899
Risto Pirinen Finland 18 686 1.0× 465 0.8× 96 0.3× 44 0.2× 91 0.5× 31 1.1k
Anita Kulukian United States 9 801 1.2× 623 1.0× 143 0.5× 37 0.2× 299 1.5× 16 1.4k

Countries citing papers authored by Larissa Spector

Since Specialization
Citations

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

Fields of papers citing papers by Larissa Spector

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larissa Spector

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

All Works

11 of 11 papers shown
1.
Arrambide, Georgina, Carmen Espejo, Jennifer Yarden, et al.. (2013). Serum Biomarker gMS-Classifier2: Predicting Conversion to Clinically Definite Multiple Sclerosis. PLoS ONE. 8(3). e59953–e59953. 5 indexed citations
2.
Metzig, Carola, Ludwig Kappos, CH Polman, et al.. (2011). Predictive nature of IgM anti-α-glucose serum biomarker for relapse activity and EDSS progression in CIS patients: a BENEFIT study analysis. Multiple Sclerosis Journal. 18(7). 966–973. 10 indexed citations
3.
Brettschneider, Johannes, Troy D. Jaskowski, Hayrettin Tumani, et al.. (2009). Serum anti-GAGA4 IgM antibodies differentiate relapsing remitting and secondary progressive multiple sclerosis from primary progressive multiple sclerosis and other neurological diseases. Journal of Neuroimmunology. 217(1-2). 95–101. 28 indexed citations
4.
Rieder, Florian, Stephan Schleder, Alexandra Wolf, et al.. (2009). Serum anti-glycan antibodies predict complicated Crohnʼs disease behavior. Inflammatory Bowel Diseases. 16(8). 1367–1375. 67 indexed citations
5.
Rieder, Florian, Stephan Schleder, Alexandra Wolf, et al.. (2009). Association of the novel serologic anti-glycan antibodies anti-laminarin and anti-chitin with complicated Crohnʼs disease behavior. Inflammatory Bowel Diseases. 16(2). 263–274. 83 indexed citations
8.
Dotan, Iris, Sigal Fishman, Amir Karban, et al.. (2006). Antibodies Against Laminaribioside and Chitobioside Are Novel Serologic Markers in Crohn’s Disease. Gastroenterology. 131(2). 366–378. 186 indexed citations
9.
Schwarz, Mikael, Larissa Spector, Lea Glass‐Marmor, et al.. (2006). Serum anti-Glc(α1,4)Glc(α) antibodies as a biomarker for relapsing–remitting multiple sclerosis. Journal of the Neurological Sciences. 244(1-2). 59–68. 49 indexed citations
10.
11.
Vlodavsky, Israël, Yael Friedmann, Michael Elkin, et al.. (1999). Mammalian heparanase: Gene cloning, expression and function in tumor progression and metastasis. Nature Medicine. 5(7). 793–802. 677 indexed citations breakdown →

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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