E. Mickelson

2.0k total citations · 1 hit paper
32 papers, 1.5k citations indexed

About

E. Mickelson is a scholar working on Immunology, Hematology and Transplantation. According to data from OpenAlex, E. Mickelson has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 14 papers in Hematology and 6 papers in Transplantation. Recurrent topics in E. Mickelson's work include T-cell and B-cell Immunology (18 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Immunotherapy and Immune Responses (9 papers). E. Mickelson is often cited by papers focused on T-cell and B-cell Immunology (18 papers), Hematopoietic Stem Cell Transplantation (11 papers) and Immunotherapy and Immune Responses (9 papers). E. Mickelson collaborates with scholars based in United States, South Africa and France. E. Mickelson's co-authors include Gerald T. Nepom, John A. Hansen, P Beatty, Barbara S. Nepom, Paolo Antonelli, K Doney, CD Buckner, D. B. Amos, F R Appelbaum and R. A. Clift and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

E. Mickelson

31 papers receiving 1.5k citations

Hit Papers

Effect of HLA Compatibility on Engraftment of Bone Marrow... 1989 2026 2001 2013 1989 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Mickelson United States 15 931 916 216 206 187 32 1.5k
RA Nash United States 17 521 0.6× 948 1.0× 56 0.3× 148 0.7× 272 1.5× 33 1.4k
Margit Mitterbauer Austria 25 462 0.5× 1.1k 1.1× 102 0.5× 76 0.4× 298 1.6× 67 1.7k
P L Weiden United States 15 737 0.8× 1.3k 1.4× 96 0.4× 181 0.9× 550 2.9× 32 1.7k
PJ Martin United States 13 748 0.8× 1.2k 1.3× 72 0.3× 88 0.4× 268 1.4× 20 1.5k
Pascale Loiseau France 22 753 0.8× 412 0.4× 53 0.2× 214 1.0× 177 0.9× 45 1.6k
J. Mittermüller Germany 16 858 0.9× 1.3k 1.4× 47 0.2× 202 1.0× 637 3.4× 35 2.0k
RP Witherspoon United States 12 696 0.7× 1.4k 1.5× 53 0.2× 114 0.6× 427 2.3× 13 1.7k
Alessandra Sperotto Italy 22 418 0.4× 966 1.1× 66 0.3× 66 0.3× 378 2.0× 55 1.5k
TC Graham United States 23 367 0.4× 973 1.1× 289 1.3× 335 1.6× 328 1.8× 69 1.5k
Hellmut Ottinger Germany 21 834 0.9× 987 1.1× 43 0.2× 54 0.3× 330 1.8× 49 1.6k

Countries citing papers authored by E. Mickelson

Since Specialization
Citations

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

Fields of papers citing papers by E. Mickelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Mickelson

This figure shows the co-authorship network connecting the top 25 collaborators of E. Mickelson. A scholar is included among the top collaborators of E. Mickelson 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. Mickelson. E. Mickelson 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.
Gourraud, Pierre‐Antoine, Anne Cambon‐Thomsen, E.M. Dauber, et al.. (2007). Nomenclature for HLA microsatellites. Tissue Antigens. 69(s1). 210–213. 7 indexed citations
2.
Mickelson, E., Marcel G.J. Tilanus, Mary Carrington, et al.. (2006). 13th IHWS Shared Resources Joint Report. IHWG Cell and Gene Bank and reference cell panels.. UCL Discovery (University College London). 1 indexed citations
5.
Gorski, Jack, Susan F. Radka, Susan Masewicz, & E. Mickelson. (1990). Mapping of distinct serologic and T cell recognition epitopes on an HLA-DR beta -chain.. The Journal of Immunology. 145(7). 2020–2024. 14 indexed citations
6.
Kwok, William W., et al.. (1990). Polymorphic DQ alpha and DQ beta interactions dictate HLA class II determinants of allo-recognition.. The Journal of Experimental Medicine. 171(1). 85–95. 44 indexed citations
7.
Gorski, Jack, C Irlé, E. Mickelson, et al.. (1989). Correlation of structure with T cell responses of the three members of the HLA-DRw52 allelic series.. The Journal of Experimental Medicine. 170(3). 1027–1032. 23 indexed citations
8.
Anasetti, C, D. B. Amos, P Beatty, et al.. (1989). Effect of HLA Compatibility on Engraftment of Bone Marrow Transplants in Patients with Leukemia or Lymphoma. New England Journal of Medicine. 320(4). 197–204. 531 indexed citations breakdown →
9.
Petersdorf, E.W., et al.. (1989). 4.3-15 Characterization of two DR“6X” variant haplotypes designated DHAG and DEWP. Human Immunology. 26. 35–35. 1 indexed citations
10.
Mickelson, E., et al.. (1988). Kidney graft survival and immunologic changes in patients conditioned with donor-specific transfusions prior to transplantation.. PubMed. 20(6). 1084–6. 1 indexed citations
11.
Seyfried, Christine E., E. Mickelson, John A. Hansen, & Gerald T. Nepom. (1988). A specific nucleotide sequence defines a functional T-cell recognition epitope shared by diverse HLA-DR specificities. Human Immunology. 21(4). 289–299. 48 indexed citations
12.
Amar, A., Gerald T. Nepom, E. Mickelson, H.A. Erlich, & J A Hansen. (1987). HLA-DP and HLA-DO genes in presumptive HLA-identical siblings: structural and functional identification of allelic variation.. The Journal of Immunology. 138(6). 1947–1953. 25 indexed citations
13.
Deeg, H. Joachim, Steven G. Self, Rainer Storb, et al.. (1986). Decreased incidence of marrow graft rejection in patients with severe aplastic anemia: changing impact of risk factors. Blood. 68(6). 1363–1368. 69 indexed citations
14.
Herrera, Flor, et al.. (1985). Definition of DW8.2 by primary and secondary mixed lymphocyte cultures. Human Immunology. 12(1). 9–21. 6 indexed citations
15.
Nepom, Gerald T., Barbara S. Nepom, Paolo Antonelli, et al.. (1984). The HLA-DR4 family of haplotypes consists of series of distinct DR and DS molecules.. The Journal of Experimental Medicine. 159(2). 394–404. 67 indexed citations
16.
Nepom, Barbara S., Gerald T. Nepom, E. Mickelson, et al.. (1984). Specific HLA-DR4-associated histocompatibility molecules characterize patients with seropositive juvenile rheumatoid arthritis.. Journal of Clinical Investigation. 74(1). 287–291. 95 indexed citations
17.
Termijtelen, A., Geziena M. Th. Schreuder, E. Mickelson, & J. J. van Rood. (1984). Ninth International Histocompatibility pre‐workshop testing of Dw6 HTCs. Two subtypes of Dw6. Tissue Antigens. 24(1). 10–17. 10 indexed citations
18.
Storb, R, et al.. (1983). Autologous marrow recovery and sensitization to non-HLA antigens after HLA-identical marrow transplantation for aplastic anemia.. PubMed. 11(1). 73–81. 10 indexed citations
19.
Mickelson, E., B. Nisperos, E D Thomas, & John A. Hansen. (1982). Definition of LD “4 × 7”: A unique HLA-D specificity defined by two homozygous typing cells. Human Immunology. 4(1). 79–86. 8 indexed citations
20.
Storb, Rainer, Robert H. Rudolph, H. Kolb, et al.. (1973). MARROW GRAFTS BETWEEN DL-A-MATCHED CANINE LITTERMATES. Transplantation. 15(1). 92–100. 90 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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