SJ Lauer

2.0k citations
19 papers · 1.6k · h-index 16

Impact in

Papers in

SJ Lauer

19 papers receiving 1.6k citations

Peers

SJ Lauer
Comparison fields: 5 of 84
  • Hematology 321
  • Public Health, Environmental and Occupational Health 558
  • Genetics 153
  • Pediatrics, Perinatology and Child Health 283
  • Endocrinology, Diabetes and Metabolism 213
Replace S J Lauer with:
S J Lauer United States
Siby Sebastian United States
Kathrin Weyer Denmark
A Yoshida Japan
E. Alsat France
Takashi Oite Japan
K. Schwarz Germany
Lewis Waber United States
Sizhong Zhang China
Youqi Han Canada
SJ Lauer relative to S J Lauer United States S J Lauer's profile →
Citations per field
00.5×2.6×
S J Lauer · 1×
Citations per year

Countries citing papers authored by SJ Lauer

Since Specialization
Citations

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

Fields of papers citing papers by SJ Lauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside SJ Lauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with SJ Lauer Line = papers co-authored together SJ Lauer links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1994211
2 1998207
3 1993201
4 1989127
5 1988117
6 1992114
7 1991110
8 199295
9 198980
10 199859
11 199658
12 199347
13 199246
14 198944
15 197939
16 199119
17
Translocations involving chromosome 12p11-13, methotrexate metabolism, and outcome in childhood B-progenitor cell acute lymphoblastic leukemia: a Pediatric Oncology Group study.
199812
18 198210
19 19793

About SJ Lauer

SJ Lauer is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Pediatrics, Perinatology and Child Health, Hematology and Genetics, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (11 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Chronic Myeloid Leukemia Treatments (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Acute Myeloid Leukemia Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), T-cell and B-cell Immunology (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Hematology (321 citations), Public Health, Environmental and Occupational Health (558 citations), Genetics (153 citations), Pediatrics, Perinatology and Child Health (283 citations) and Endocrinology, Diabetes and Metabolism (213 citations). SJ Lauer has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include John M. Taylor, W. Scott Simonet, Nathan Bucay, Donald H. Mahoney, Jonathan J. Shuster, David Walker, Bruce M. Camitta, Naomi Winick, Robert W. Mahley and R Nitschke. Their work appears in journals such as Blood, Journal of Biological Chemistry, Journal of Clinical Oncology, Journal of Lipid Research and Proceedings of the National Academy of Sciences.

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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