S. J. Ewald

853 total citations
24 papers, 702 citations indexed

About

S. J. Ewald is a scholar working on Immunology, Epidemiology and Animal Science and Zoology. According to data from OpenAlex, S. J. Ewald has authored 24 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Epidemiology and 8 papers in Animal Science and Zoology. Recurrent topics in S. J. Ewald's work include Herpesvirus Infections and Treatments (8 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (5 papers). S. J. Ewald is often cited by papers focused on Herpesvirus Infections and Treatments (8 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (5 papers). S. J. Ewald collaborates with scholars based in United States, Austria and United Kingdom. S. J. Ewald's co-authors include Emily J. Livant, Leroy Hood, Carol Hopkins Sibley, Marilyn R. Kehry, William C. Raschke, R. Douglas, Frederic J. Hoerr, D M Fambrough, Leonard P. Freedman and B. G. Sanders and has published in prestigious journals such as Cell, The Journal of Immunology and Poultry Science.

In The Last Decade

S. J. Ewald

24 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. J. Ewald United States	16	372	229	180	179	150	24	702
C L Chen United States	13	1.0k 2.8×	274 1.2×	337 1.9×	266 1.5×	204 1.4×	13	1.5k
Liming Ren China	18	482 1.3×	264 1.2×	61 0.3×	57 0.3×	164 1.1×	40	819
Louis W. Schierman United States	17	515 1.4×	232 1.0×	467 2.6×	441 2.5×	110 0.7×	48	1.2k
Helmi Fijten Netherlands	14	115 0.3×	229 1.0×	76 0.4×	98 0.5×	158 1.1×	18	599
Fiorella Kotsias Argentina	10	504 1.4×	243 1.1×	181 1.0×	49 0.3×	38 0.3×	16	804
Mark E. Lostrom United States	7	242 0.7×	291 1.3×	90 0.5×	32 0.2×	291 1.9×	8	662
Birgit C. Viertlboeck Germany	17	599 1.6×	135 0.6×	78 0.4×	73 0.4×	123 0.8×	27	712
K Zingler United States	8	274 0.7×	193 0.8×	248 1.4×	72 0.4×	24 0.2×	8	596
Andy van Hateren United Kingdom	16	610 1.6×	308 1.3×	124 0.7×	45 0.3×	72 0.5×	22	811
Petra Muenzner Germany	12	174 0.5×	185 0.8×	97 0.5×	37 0.2×	121 0.8×	14	664

Countries citing papers authored by S. J. Ewald

Since Specialization

Citations

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

Fields of papers citing papers by S. J. Ewald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Ewald. 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 S. J. Ewald. The network helps show where S. J. Ewald may publish in the future.

Co-authorship network of co-authors of S. J. Ewald

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

All Works

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20 of 20 papers shown

Macklin, K.S., R. A. Norton, & S. J. Ewald. (2009). Effect of the Major Histocompatibility Complex on the Inhibition of Induced Cellulitis Development in a Broiler Chicken Model. Avian Diseases. 53(2). 297–300. 5 indexed citations

Ewald, S. J., et al.. (2007). SHORT COMMUNICATION: Associations of BF2 alleles with antibody titres and production traits in commercial pure line broiler chickens. Animal Genetics. 38(2). 174–176. 19 indexed citations

Hoerr, Frederic J., S. J. Ewald, Vicky L. van Santen, et al.. (2007). Pathogenesis of Infectious Bronchitis Virus in Vaccinated Chickens of Two Different Major HistocompatibilityBComplex Genotypes. Avian Diseases. 51(3). 758–763. 20 indexed citations

Livant, Emily J., Santiago Avendaño, S. McLeod, et al.. (2007). SHORT COMMUNICATION: MX1 exon 13 polymorphisms in broiler breeder chickens and associations with commercial traits. Animal Genetics. 38(2). 177–179. 14 indexed citations

Toro, H., S. J. Ewald, & Frederic J. Hoerr. (2006). Serological Evidence of Chicken Infectious Anemia Virus in the United States at Least Since 1959. Avian Diseases. 50(1). 124–126. 22 indexed citations

Livant, Emily J. & S. J. Ewald. (2005). High‐resolution typing for chicken BF2 (MHC class I) alleles by automated sequencing. Animal Genetics. 36(5). 432–434. 17 indexed citations

Ewald, S. J., et al.. (2005). Oral Infection with Chicken Anemia Virus in 4-Wk Broiler Breeders: Lack of Effect of Major HistocompatibilityBComplex Genotype. Avian Diseases. 49(4). 482–487. 13 indexed citations

Ewald, S. J. & Emily J. Livant. (2004). Distinctive polymorphism of chicken B-FI (major histocompatibility complex class I) molecules. Poultry Science. 83(4). 600–605. 26 indexed citations

Bacon, L D, Karel Hála, S. J. Ewald, et al.. (2004). 2004 Nomenclature for the chicken major histocompatibility (B and Y ) complex. Immunogenetics. 56(4). 261–79. 125 indexed citations

10.

Livant, Emily J., Jennifer R. Brigati, & S. J. Ewald. (2004). Diversity and locus specificity of chicken MHC B class I sequences. Animal Genetics. 35(1). 18–27. 42 indexed citations

11.

Macklin, K.S., S. J. Ewald, & R. A. Norton. (2002). Major histocompatibility complex effect on cellulitis among different chicken lines. Avian Pathology. 31(4). 371–376. 16 indexed citations

12.

Hoerr, Frederic J., et al.. (2002). Quantitative Measures of Disease in Broiler Breeder Chicks of Different Major Histocompatibility Complex Genotypes After Challenge with Infectious Bursal Disease Virus. Avian Diseases. 46(3). 581–592. 10 indexed citations

13.

Livant, Emily J., et al.. (2001). Three new MHC haplotypes in broiler breeder chickens. Animal Genetics. 32(3). 123–131. 29 indexed citations

14.

Cox, Nancy R., et al.. (1998). Thymic alterations in feline GM1 gangliosidosis. Veterinary Immunology and Immunopathology. 63(4). 335–353. 12 indexed citations

15.

Johnson, Logan, et al.. (1997). Molecular characterization of major histocompatibility complex (B) haplotypes in broiler chickens. Animal Genetics. 28(4). 258–267. 31 indexed citations

16.

Walden, Sandra M., et al.. (1987). Effects of Ly-5 antibodies on antibody-dependent cell-mediated cytotoxicity (ADCC).. PubMed. 60(2). 159–65. 4 indexed citations

17.

Ewald, S. J., et al.. (1985). Co-immunoprecipitation of the Ly-5 molecule and an endogenous protease: a proteolytic system requiring a reducing agent and Ca2+1.. The Journal of Immunology. 134(4). 2513–2519. 13 indexed citations

18.

Sibley, Carol Hopkins, S. J. Ewald, Marilyn R. Kehry, et al.. (1980). Characterization of multiple immunoglobulin mu-chains synthesized by two clones of a B cell lymphoma.. The Journal of Immunology. 125(5). 2097–2105. 35 indexed citations

19.

Kehry, Marilyn R., S. J. Ewald, R. Douglas, et al.. (1980). The immunoglobulin μ chains of membrane-bound and secreted IgM molecules differ in their C-terminal segments. Cell. 21(2). 393–406. 129 indexed citations

20.

Ewald, S. J., Leonard P. Freedman, & B. G. Sanders. (1976). EA rosette forming lymphoid cells: Distribution as to cell types and organs from chickens of different developmental stages. Cellular Immunology. 23(1). 158–170. 37 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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