Paul Scibelli

1.2k total citations · 1 hit paper
15 papers, 1.0k citations indexed

About

Paul Scibelli is a scholar working on Physiology, Immunology and Molecular Biology. According to data from OpenAlex, Paul Scibelli has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 6 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Paul Scibelli's work include Alzheimer's disease research and treatments (6 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Paul Scibelli is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Paul Scibelli collaborates with scholars based in United States, Australia and Canada. Paul Scibelli's co-authors include Thomas R. Malek, Aixin Yu, Vladimir Vincek, Lin Kong, E K Codias, Brian Porter, Mathias G. Lichtenheld, Michael Mullan, Fiona Crawford and Ranjan Duara and has published in prestigious journals such as Blood, Immunity and The Journal of Immunology.

In The Last Decade

Paul Scibelli

15 papers receiving 998 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CD4 Regulatory T Cells Prevent Lethal Autoimmunity in IL-2Rβ-Deficient Mice

2002 644 citations Thomas R. Malek, Aixin Yu et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Scibelli United States	9	831	153	99	87	82	15	1.0k
Jean-François Gauchat United States	4	540 0.6×	136 0.9×	232 2.3×	27 0.3×	140 1.7×	5	842
Bhavana Priyadharshini United States	10	693 0.8×	182 1.2×	41 0.4×	83 1.0×	174 2.1×	18	899
Peter Scheipers Germany	11	357 0.4×	151 1.0×	102 1.0×	61 0.7×	204 2.5×	13	657
Vanessa M. Hubbard United States	14	679 0.8×	195 1.3×	48 0.5×	54 0.6×	221 2.7×	20	1.1k
François Machavoine France	15	570 0.7×	103 0.7×	110 1.1×	30 0.3×	202 2.5×	33	749
Akemi Baba Japan	6	490 0.6×	82 0.5×	37 0.4×	47 0.5×	124 1.5×	10	737
Elena Bulanova Germany	14	664 0.8×	145 0.9×	125 1.3×	28 0.3×	337 4.1×	23	1.0k
Flavia Bottarel Italy	11	341 0.4×	70 0.5×	32 0.3×	51 0.6×	183 2.2×	15	580
Bojana Müller-Durovic Switzerland	9	759 0.9×	278 1.8×	77 0.8×	70 0.8×	285 3.5×	12	1.1k
Wen-I Yeh United States	11	504 0.6×	232 1.5×	39 0.4×	125 1.4×	104 1.3×	24	725

Countries citing papers authored by Paul Scibelli

Since Specialization

Citations

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

Fields of papers citing papers by Paul Scibelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Scibelli

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

All Works

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15 of 15 papers shown

Shankey, T. Vincent, Meryl A. Forman, & Paul Scibelli. (2007). Optimized Whole‐Blood Assay for Measurement of ZAP‐70 Protein Expression. Current Protocols in Cytometry. 39(1). Unit9.22–Unit9.22. 1 indexed citations

Shankey, T. Vincent, Meryl A. Forman, Paul Scibelli, et al.. (2006). An optimized whole blood method for flow cytometric measurement of ZAP‐70 protein expression in chronic lymphocytic leukemia. Cytometry Part B Clinical Cytometry. 70B(4). 259–269. 39 indexed citations

Shankey, T. Vincent, et al.. (2005). Measurement of ZAP-70 Expression in CLL Using an Optimized Flow Cytometric Assay for ZAP-70 Protein Levels in Whole Blood Samples.. Blood. 106(11). 2096–2096. 1 indexed citations

Malek, Thomas R., Aixin Yu, Vladimir Vincek, Paul Scibelli, & Lin Kong. (2002). CD4 Regulatory T Cells Prevent Lethal Autoimmunity in IL-2Rβ-Deficient Mice. Immunity. 17(2). 167–178. 644 indexed citations breakdown →

Porter, Brian, Paul Scibelli, & Thomas R. Malek. (2001). Control of T Cell Development In Vivo by Subdomains Within the IL-7 Receptor α-Chain Cytoplasmic Tail. The Journal of Immunology. 166(1). 262–269. 34 indexed citations

Malek, Thomas R., Aixin Yu, Paul Scibelli, Mathias G. Lichtenheld, & E K Codias. (2001). Broad Programming by IL-2 Receptor Signaling for Extended Growth to Multiple Cytokines and Functional Maturation of Antigen-Activated T Cells. The Journal of Immunology. 166(3). 1675–1683. 71 indexed citations

Malek, Thomas R., Brian Porter, E K Codias, Paul Scibelli, & Aixin Yu. (2000). Normal Lymphoid Homeostasis and Lack of Lethal Autoimmunity in Mice Containing Mature T Cells with Severely Impaired IL-2 Receptors. The Journal of Immunology. 164(6). 2905–2914. 127 indexed citations

Reading, Sarah, John A. Schinka, Jonathan Hoyne, et al.. (1997). No interaction between the APOE and the alpha-1-antichymotrypsin genes on risk for Alzheimer's disease. American Journal of Medical Genetics. 74(2). 192–194. 17 indexed citations

Scibelli, Paul, et al.. (1997). No association between the very low density lipoprotein receptor gene and late-onset Alzheimer's disease nor interaction with the apolipoprotein E gene in population-based and clinic samples. Genetic Epidemiology. 14(3). 299–305. 19 indexed citations

10.

Scibelli, Paul, et al.. (1997). APOE is linked to Alzheimer's disease in a large pedigree. American Journal of Medical Genetics. 74(4). 365–369. 2 indexed citations

11.

Hoyne, Jonathan, Ranjan Duara, Michael Gold, et al.. (1997). No association between the intronic presenilin‐1 polymorphism and Alzheimer's disease in clinic and population‐based samples. American Journal of Medical Genetics. 74(2). 202–203. 5 indexed citations

12.

Scibelli, Paul, et al.. (1997). APOE is linked to Alzheimer's disease in a large pedigree. American Journal of Medical Genetics. 74(4). 365–369. 6 indexed citations

13.

Hoyne, Jonathan, Ranjan Duara, Michael Gold, et al.. (1997). No association between the intronic presenilin-1 polymorphism and Alzheimer's disease in clinic and population-based samples. American Journal of Medical Genetics. 74(2). 202–203. 27 indexed citations

14.

Mullan, Michael, Paul Scibelli, Ranjan Duara, et al.. (1996). Familial and Population‐Based Studies of Apolipoprotein E and Alzheimer's Disease^a. Annals of the New York Academy of Sciences. 802(1). 16–26. 22 indexed citations

15.

Crawford, Fiona, Paul Scibelli, Ranjan Duara, et al.. (1996). 500 Familial and population based studies of APOE and APOCI in AD. Neurobiology of Aging. 17(4). S124–S125. 1 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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