E. D. Albert

1.4k total citations
37 papers, 1.0k citations indexed

About

E. D. Albert is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, E. D. Albert has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 11 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in E. D. Albert's work include T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (10 papers) and Immunodeficiency and Autoimmune Disorders (7 papers). E. D. Albert is often cited by papers focused on T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (10 papers) and Immunodeficiency and Autoimmune Disorders (7 papers). E. D. Albert collaborates with scholars based in Germany, United Kingdom and Netherlands. E. D. Albert's co-authors include Walter F. Bodmer, Bernard Mach, J L Strominger, Wolfgang R. Mayr, Geziena M. Th. Schreuder, P Parham, Steven G. E. Marsh, Julia G. Bodmer, Takehiko Sasazuki and Wolfgang Helmberg and has published in prestigious journals such as Human Molecular Genetics, Transplantation and Pediatric Research.

In The Last Decade

E. D. Albert

36 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. D. Albert Germany 15 742 209 194 117 111 37 1.0k
H. Inoko Japan 17 661 0.9× 278 1.3× 144 0.7× 198 1.7× 169 1.5× 29 1.1k
Albert Naipal Netherlands 15 559 0.8× 209 1.0× 152 0.8× 91 0.8× 89 0.8× 25 859
J.‐M. Tiercy Switzerland 21 876 1.2× 151 0.7× 434 2.2× 139 1.2× 102 0.9× 59 1.3k
Piotr Kuśnierczyk Poland 22 1.1k 1.5× 110 0.5× 136 0.7× 158 1.4× 133 1.2× 93 1.4k
P. Richiardi Italy 15 490 0.7× 124 0.6× 91 0.5× 162 1.4× 127 1.1× 47 1.0k
S. Yoon Choo United States 12 518 0.7× 90 0.4× 124 0.6× 103 0.9× 166 1.5× 24 805
Sho Hokibara Japan 13 688 0.9× 94 0.4× 82 0.4× 119 1.0× 77 0.7× 18 974
G. J. O’Neill United States 14 383 0.5× 147 0.7× 214 1.1× 206 1.8× 50 0.5× 21 850
Melissa A. Lerman United States 12 1.5k 2.0× 163 0.8× 156 0.8× 125 1.1× 124 1.1× 23 1.8k
K. Tsuji Japan 15 551 0.7× 355 1.7× 99 0.5× 136 1.2× 85 0.8× 52 994

Countries citing papers authored by E. D. Albert

Since Specialization
Citations

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

Fields of papers citing papers by E. D. Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. D. Albert. 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 E. D. Albert. The network helps show where E. D. Albert may publish in the future.

Co-authorship network of co-authors of E. D. Albert

This figure shows the co-authorship network connecting the top 25 collaborators of E. D. Albert. A scholar is included among the top collaborators of E. D. Albert 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 E. D. Albert. E. D. Albert 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.
Kopp, R., et al.. (2009). Association of MICA-TM and MICB C1_2_A Microsatellite Polymorphisms with Tumor Progression in Patients with Colorectal Cancer. Journal of Clinical Immunology. 29(4). 545–554. 18 indexed citations
2.
Witter, K., et al.. (2003). Sequence‐based typing identifies a novel HLA‐DPB1 allele, DPB1*9601. Tissue Antigens. 62(2). 185–187. 4 indexed citations
3.
Tiercy, J.‐M., Steven G. E. Marsh, G. M. T. Schreuder, et al.. (2002). Guidelines for nomenclature usage in HLA reports: ambiguities and conversion to serotypes. European Journal of Immunogenetics. 29(3). 273–274. 5 indexed citations
4.
Witter, K., et al.. (2001). Linkage disequilibria between HLA‐B, C1_4_1, MICA and MICB. Tissue Antigens. 58(6). 411–418. 14 indexed citations
5.
Genčík, Martin, Stefan Borgmann, R. Zahn, et al.. (1999). Immunogenetic risk factors for anti-neutrophil cytoplasmic antibody (ANCA)-associated systemic vasculitis. Clinical & Experimental Immunology. 117(2). 412–417. 53 indexed citations
6.
Helmberg, Wolfgang, et al.. (1999). Virtual DNA analysis as a platform for interlaboratory data exchange of HLA DNA typing results. Tissue Antigens. 54(4). 379–385. 10 indexed citations
7.
Helmberg, Wolfgang, et al.. (1999). Definition of new alleles of MIC‐A using sequencing‐based typing. European Journal of Immunogenetics. 26(2-3). 225–232. 22 indexed citations
8.
Yao, Zhenjiang, Wolfgang Helmberg, E. Keller, et al.. (1999). Definition of new alleles of MIC‐A using sequencing‐based typing. European Journal of Immunogenetics. 26(2). 225–232. 29 indexed citations
9.
Helmberg, Wolfgang, et al.. (1998). Virtual DNA analysis — a new tool for combination and standardised evaluation of SSO, SSP and sequencing‐based typing results. Tissue Antigens. 51(6). 587–592. 73 indexed citations
10.
Epplen, C., et al.. (1995). IMMUNOPRINTING EXCLUDES MANY POTENTIAL SUSCEPTIBILITY GENES AS PREDISPOSING TO EARLY ONSET PAUCIARTICULAR JUVENILE CHRONIC ARTHRITIS EXCEPT HLA CLASS II AND TNF. International Journal of Immunogenetics. 22(4). 311–322. 32 indexed citations
11.
Menninger, H., E.‐M. Lemmel, E. D. Albert, et al.. (1995). Immunoprinting: various genes are associated with increased risk to develop rheumatoid arthritis in different groups of adult patients. Journal of Molecular Medicine. 73(1). 19–29. 29 indexed citations
12.
Paul, Christian, Zhongyuan Yao, Claudia Nevinny-Stickel, et al.. (1995). Immunogenetics of juvenile chronic arthritis. Tissue Antigens. 45(4). 280–283. 14 indexed citations
13.
Epplen, C., et al.. (1994). Dinucleotide repeat polymorphism in the human IL1A gene. Human Molecular Genetics. 3(9). 1710–1710. 12 indexed citations
14.
Yao, Zhongyuan, Akinori Kimura, Johannes‐Peter Haas, et al.. (1993). Polymorphism in the 5′-flanking region of HLA-DQA1 in german patients with systemic lupus erythematosus. Human Immunology. 36(1). 47–47. 1 indexed citations
15.
Albert, E. D., et al.. (1993). [HLA antigens in patients with celiac disease].. PubMed. 48(1). 5–8.
16.
Bodmer, J. G., E. D. Albert, Walter F. Bodmer, et al.. (1992). Nomenclature for factors of the HLA system, 1991. The WHO Nomenclature Committee for factors of the HLA system.. PubMed. 36(3). 135–48. 44 indexed citations
17.
Bodmer, Julia G., Steven G. E. Marsh, E. D. Albert, et al.. (1992). Nomenclature for factors of the HLA system, 1991. Tissue Antigens. 39(4). 161–173. 313 indexed citations
18.
Bodmer, J. G., E. D. Albert, Walter F. Bodmer, et al.. (1992). Nomenclature for factors of theHLA system, 1991. Immunogenetics. 36(3). 135–148. 46 indexed citations
19.
Albert, E. D., D. Bernard Amos, Walter F. Bodmer, et al.. (1978). NOMENCLATURE FOR FACTORS OF THE HLA SYSTEM-1977. Transplantation. 25(5). 272–274. 12 indexed citations
20.
Meyer, J., et al.. (1977). PGM3 LOCUS AND ITS GENETIC POLYMORPHISM IN LYMPHOCYTES OF THE PIG. International Journal of Immunogenetics. 4(5). 363–365. 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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