Steven J. Mack

3.8k total citations
78 papers, 1.9k citations indexed

About

Steven J. Mack is a scholar working on Immunology, Genetics and Hematology. According to data from OpenAlex, Steven J. Mack has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Immunology, 26 papers in Genetics and 16 papers in Hematology. Recurrent topics in Steven J. Mack's work include T-cell and B-cell Immunology (57 papers), Immune Cell Function and Interaction (39 papers) and Diabetes and associated disorders (15 papers). Steven J. Mack is often cited by papers focused on T-cell and B-cell Immunology (57 papers), Immune Cell Function and Interaction (39 papers) and Diabetes and associated disorders (15 papers). Steven J. Mack collaborates with scholars based in United States, Australia and United Kingdom. Steven J. Mack's co-authors include Richard M. Single, Glenys Thomson, Jill A. Hollenbach, Alex K. Lancaster, Alicia Sanchez‐Mazas, Marcelo Fernández-Viña, Owen D. Solberg, Yingssu Tsai, Martin Maiers and Diogo Meyer and has published in prestigious journals such as Genetics, Philosophical Transactions of the Royal Society B Biological Sciences and The American Journal of Human Genetics.

In The Last Decade

Steven J. Mack

74 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven J. Mack United States 22 1.3k 441 327 289 191 78 1.9k
Elizabeth Adams United Kingdom 24 2.0k 1.6× 202 0.5× 229 0.7× 283 1.0× 291 1.5× 28 2.9k
Leo P. de Waal Netherlands 23 927 0.7× 203 0.5× 301 0.9× 385 1.3× 188 1.0× 66 1.9k
Karen Honey United States 16 1.1k 0.9× 147 0.3× 133 0.4× 408 1.4× 83 0.4× 60 1.8k
Elizabeth Trachtenberg United States 30 2.2k 1.7× 323 0.7× 1.1k 3.2× 253 0.9× 110 0.6× 63 3.0k
Frances E. Ward United States 23 1.7k 1.3× 530 1.2× 447 1.4× 472 1.6× 90 0.5× 72 2.5k
Tatsuya Akaza Japan 24 1.2k 0.9× 263 0.6× 395 1.2× 216 0.7× 75 0.4× 100 1.9k
Alexander H. Schmidt Germany 28 1.2k 0.9× 172 0.4× 935 2.9× 283 1.0× 435 2.3× 134 2.3k
Luís M. Allende Spain 20 608 0.5× 218 0.5× 83 0.3× 273 0.9× 64 0.3× 77 1.5k
Eduardo José Melo dos Santos Brazil 20 1.0k 0.8× 250 0.6× 192 0.6× 579 2.0× 48 0.3× 70 2.1k
Nezih Cereb United States 20 3.2k 2.5× 243 0.6× 320 1.0× 599 2.1× 119 0.6× 63 3.8k

Countries citing papers authored by Steven J. Mack

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven J. Mack

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Mack. A scholar is included among the top collaborators of Steven J. Mack 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 Steven J. Mack. Steven J. Mack 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
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Bridges, S. Louis, Ivona Aksentijevich, Steven J. Mack, et al.. (2024). Curating Genetic Associations With Rheumatologic Autoimmune Diseases to Improve Patient Outcomes. Arthritis & Rheumatology. 76(11). 1577–1581. 1 indexed citations
3.
Mack, Steven J., et al.. (2024). Population genetic dissection of HLA-DPB1 amino acid polymorphism to infer selection. Human Immunology. 85(6). 111151–111151. 2 indexed citations
4.
5.
Noble, Janelle A., Stéphane Besançon, A.T. Sidibé, et al.. (2023). Complete HLA genotyping of type 1 diabetes patients and controls from Mali reveals both expected and novel disease associations. HLA. 103(1). e15319–e15319. 5 indexed citations
6.
Mack, Steven J., Martin Maiers, Jill A. Hollenbach, et al.. (2023). Genotype List String 1.1: Extending the Genotype List String grammar for describing HLA and Killer‐cell Immunoglobulin‐like Receptor genotypes. HLA. 102(2). 206–212. 3 indexed citations
7.
Kachuri, Linda, George A. Wendt, Helen M. Hansen, et al.. (2022). The immunogenetics of viral antigen response is associated with subtype-specific glioma risk and survival. The American Journal of Human Genetics. 109(6). 1105–1116. 9 indexed citations
8.
Mack, Steven J., Bassam R. Ali, Bachar Afandi, et al.. (2022). HLA-DRB1 and –DQB1 Alleles, Haplotypes and Genotypes in Emirati Patients with Type 1 Diabetes Underscores the Benefits of Evaluating Understudied Populations. Frontiers in Genetics. 13. 841879–841879. 8 indexed citations
9.
Abdullah, Mohamed Ahmed, Janelle A. Noble, Mohammed Hussien, et al.. (2021). Clinical features, biochemistry, and HLA‐DRB1 status in youth‐onset type 1 diabetes in Sudan. Pediatric Diabetes. 22(5). 749–757. 12 indexed citations
10.
Mack, Steven J., Kazutoyo Osoegawa, Martin Maiers, et al.. (2021). Standard reference sequences for submission of HLA genotyping for the 18th International HLA and Immunogenetics Workshop. HLA. 97(6). 512–519. 5 indexed citations
11.
Grifoni, Alba, Daniela Weiskopf, Véronique Schulten, et al.. (2018). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 496 adults from San Diego, California, USA. Human Immunology. 79(12). 821–822. 11 indexed citations
12.
Grifoni, Alba, Daniela Weiskopf, Cecilia S. Lindestam Arlehamn, et al.. (2017). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 714 adults from Colombo, Sri Lanka. Human Immunology. 79(2). 87–88. 4 indexed citations
13.
Weiskopf, Daniela, Alba Grifoni, Cecilia S. Lindestam Arlehamn, et al.. (2017). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 339 adults from Managua, Nicaragua. Human Immunology. 79(1). 1–2. 8 indexed citations
14.
Osoegawa, Kazutoyo, Robert P. Milius, Martin Maiers, et al.. (2017). Collection and storage of HLA NGS genotyping data for the 17th International HLA and Immunogenetics Workshop. Human Immunology. 79(2). 77–86. 9 indexed citations
15.
Mack, Steven J., Pierre‐Antoine Gourraud, Richard M. Single, Glenys Thomson, & Jill A. Hollenbach. (2012). Analytical Methods for Immunogenetic Population Data. Methods in molecular biology. 882. 215–244. 12 indexed citations
16.
González-Galarza, Faviel F., Steven J. Mack, Jill A. Hollenbach, et al.. (2012). 16th IHIW: Extending the number of resources and bioinformatics analysis for the investigation of HLA rare alleles. International Journal of Immunogenetics. 40(1). 60–65. 14 indexed citations
17.
18.
Meyer, Diogo, et al.. (2006). Signatures of Demographic History and Natural Selection in the Human Major Histocompatibility Complex Loci. Genetics. 173(4). 2121–2142. 96 indexed citations
19.
Ellis, Jennifer M., Steven J. Mack, Rose F. G. Leke, et al.. (2000). Diversity is demonstrated in class I HLA‐A and HLA‐B alleles in Cameroon, Africa: description of HLA‐A*03012, *2612, *3006 and HLA‐B*1403, *4016, *4703. Tissue Antigens. 56(4). 291–302. 66 indexed citations
20.
Mack, Steven J.. (1997). Molecular evolution of mitochondrial control region sequences and class II HLA loci in Native American populations. UMI eBooks. 2 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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