Ellen Kraig

3.8k total citations · 1 hit paper
60 papers, 2.1k citations indexed

About

Ellen Kraig is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Ellen Kraig has authored 60 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 17 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in Ellen Kraig's work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (11 papers) and Oral microbiology and periodontitis research (9 papers). Ellen Kraig is often cited by papers focused on T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (11 papers) and Oral microbiology and periodontitis research (9 papers). Ellen Kraig collaborates with scholars based in United States, France and Australia. Ellen Kraig's co-authors include David Kolodrubetz, James E. Haber, John K. Spitznagel, Mitchell Kronenberg, Anthony J. Infante, Dean L. Kellogg, Janet M. Guthmiller, Leroy Hood, Miranda E. Orr and Valentina R. Garbarino and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ellen Kraig

60 papers receiving 2.0k citations

Hit Papers

Biological aging processes underlying cognitive decline a... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ellen Kraig United States 24 716 639 398 257 213 60 2.1k
Pekka Vilja Finland 29 504 0.7× 345 0.5× 540 1.4× 277 1.1× 593 2.8× 67 2.3k
Hiroshi Uchida Japan 35 1.3k 1.8× 981 1.5× 277 0.7× 484 1.9× 198 0.9× 164 4.1k
A Tarkowski Sweden 35 1.4k 1.9× 1.5k 2.3× 149 0.4× 546 2.1× 258 1.2× 83 4.2k
D F Mangan United States 19 450 0.6× 619 1.0× 373 0.9× 67 0.3× 127 0.6× 29 1.6k
Michael Martin United States 26 1.4k 2.0× 2.2k 3.4× 332 0.8× 176 0.7× 220 1.0× 42 3.9k
Brigitta M. N. Brinkman Netherlands 24 1.3k 1.8× 755 1.2× 124 0.3× 234 0.9× 324 1.5× 34 2.7k
Jean‐Pierre Allam Germany 32 413 0.6× 1.0k 1.6× 176 0.4× 75 0.3× 949 4.5× 87 3.4k
David J. Dripps United States 10 544 0.8× 1.1k 1.7× 38 0.1× 135 0.5× 181 0.8× 11 2.3k
Jason A. Boch United States 10 870 1.2× 817 1.3× 186 0.5× 53 0.2× 151 0.7× 12 1.7k
Ewa Brzezińska‐Błaszczyk Poland 23 389 0.5× 807 1.3× 147 0.4× 50 0.2× 376 1.8× 132 1.7k

Countries citing papers authored by Ellen Kraig

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Kraig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ellen Kraig

This figure shows the co-authorship network connecting the top 25 collaborators of Ellen Kraig. A scholar is included among the top collaborators of Ellen Kraig 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 Ellen Kraig. Ellen Kraig 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.
Xiao, Yangming, et al.. (2022). Redox regulation of age-associated defects in generation and maintenance of T cell self-tolerance and immunity to foreign antigens. Cell Reports. 38(7). 110363–110363. 12 indexed citations
3.
Majumder, Smita, Antonella Caccamo, David X. Medina, et al.. (2011). Lifelong rapamycin administration ameliorates age‐dependent cognitive deficits by reducing IL‐1β and enhancing NMDA signaling. Aging Cell. 11(2). 326–335. 159 indexed citations
4.
Rubicz, Rohina, Charles T. Leach, Ellen Kraig, et al.. (2011). Genetic Factors Influence Serological Measures of Common Infections. Human Heredity. 72(2). 133–141. 25 indexed citations
5.
Standifer, Nathan, et al.. (2010). Maintenance of Immune Tolerance to a Neo-Self Acetylcholine Receptor Antigen with Aging: Implications for Late-Onset Autoimmunity. The Journal of Immunology. 184(11). 6067–6075. 8 indexed citations
6.
Cantwell, Angelene M., et al.. (2008). An Age-Old Paradigm Challenged: Old Baboons Generate Vigorous Humoral Immune Responses to LcrV, A Plague Antigen. The Journal of Immunology. 181(1). 109–115. 20 indexed citations
7.
Standifer, Nathan, et al.. (2007). Discrete T Cell Populations with Specificity for a Neo-Self-Antigen Bear Distinct Imprints of Tolerance. The Journal of Immunology. 178(6). 3544–3550. 1 indexed citations
8.
Infante, Anthony J., Jacques Baillargeon, Ellen Kraig, et al.. (2003). Evidence of a diverse T cell receptor repertoire for acetylcholine receptor, the autoantigen of myasthenia gravis. Journal of Autoimmunity. 21(2). 167–174. 15 indexed citations
9.
Gelb, Bruce E., Barbara A. Koop, Jolene J. Windle, et al.. (2002). Split Tolerance in a Novel Transgenic Model of Autoimmune Myasthenia Gravis. The Journal of Immunology. 169(11). 6570–6579. 14 indexed citations
11.
Infante, Anthony J. & Ellen Kraig. (1999). Myasthenia Gravis and its Animal Model: T Cell Receptor Expression in an Antibody Mediated Autoimmune Disease. International Reviews of Immunology. 18(1-2). 83–109. 8 indexed citations
12.
Guthmiller, Janet M., David Kolodrubetz, & Ellen Kraig. (1995). Mutational analysis of the putative leukotoxin transport genes in Actinobacillus actinomycetemcomitans. Microbial Pathogenesis. 18(5). 307–321. 32 indexed citations
13.
Infante, A J, et al.. (1993). T‐Cell Receptor Expression in Murine Myasthenia Gravis. Annals of the New York Academy of Sciences. 681(1). 292–294. 3 indexed citations
14.
Guthmiller, Janet M., David Kolodrubetz, & Ellen Kraig. (1993). A panel of probes detects DNA polymorphisms in human and non-human primate isolates of a periodontal pathogen, Actinobacillus actinomycetemcomitans. Microbial Pathogenesis. 14(2). 103–115. 21 indexed citations
15.
Guthmiller, Janet M., Ellen Kraig, Marianna P. Cagle, & David Kolodrubetz. (1990). Sequence of theIktDgene fromActinobacillus actinomycetemcomitans. Nucleic Acids Research. 18(17). 5292–5292. 39 indexed citations
16.
Schneider, Barbara & Ellen Kraig. (1990). Na+,K+-ATPase of the photoreceptor: Selective expression of α3 and β2 isoforms. Experimental Eye Research. 51(5). 553–564. 33 indexed citations
17.
Guthmiller, Janet M., David Kolodrubetz, Marianna P. Cagle, & Ellen Kraig. (1990). Sequence of theIktBgene fromActinobacillus actinomycetemcomitans. Nucleic Acids Research. 18(17). 5291–5291. 31 indexed citations
18.
Stone, W. H., et al.. (1987). Definition of class I antigens of the MHC of a Marsupial ( Monodelphis Domestica). Archivos de Zootecnia. 36(136). 219–236. 8 indexed citations
19.
Kronenberg, Mitchell, Ellen Kraig, Gerald Siu, et al.. (1983). Three T cell hybridomas do not contain detectable heavy chain variable gene transcripts.. The Journal of Experimental Medicine. 158(1). 210–227. 42 indexed citations
20.
Kraig, Ellen, James E. Haber, & Michael Rosbash. (1982). Sporulation and rna2 Lower Ribosomal Protein mRNA Levels by Different Mechanisms in Saccharomyces cerevisiae. Molecular and Cellular Biology. 2(10). 1199–1204. 9 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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