S Stass

701 citations
15 papers · 579 · h-index 10

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 7
    • Acute Myeloid Leukemia Research 6
    • Chronic Lymphocytic Leukemia Research 5

S Stass

15 papers receiving 564 citations

Peers

S Stass
Comparison fields: 5 of 42
  • Hematology 323
  • Genetics 232
  • Pathology and Forensic Medicine 144
  • Public Health, Environmental and Occupational Health 204
  • Immunology 133
Replace A Raghavachar with:
A Raghavachar Germany
D Leboeuf France
Rokuo Abe Japan
Jay Schachner United States
IM Chen United States
M V Joyner United Kingdom
GR Kitchingman United States
M C López-Berges Spain
A. G. Bynoe United Kingdom
CE Litz United States
S Stass relative to A Raghavachar Germany A Raghavachar's profile →
Citations per field
00.5×10×
A Raghavachar · 1×
Citations per year

Countries citing papers authored by S Stass

Since Specialization
Citations

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

Fields of papers citing papers by S Stass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S Stass, 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 S Stass Line = papers co-authored together S Stass links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1984176
2 1992145
3 199056
4 199453
5 199247
6 199221
7
Acute megakaryoblastic leukemia. Blast cell aggregates simulating metastatic tumor.
198518
8 199217
9 198016
10
Acute lymphoblastic leukemia: hand mirror variant.
198015
11 19925
12 19904
13 19944
14
Recent advances in the diagnosis of acute leukemia
19931
15 19851

About S Stass

S Stass is a scholar working on Hematology, Genetics, Pulmonary and Respiratory Medicine, Rheumatology and Immunology, having authored 15 papers that have together received 579 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Acute Myeloid Leukemia Research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Advanced Breast Cancer Therapies (2 papers), Cutaneous lymphoproliferative disorders research (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Hematology (323 citations), Genetics (232 citations), Pathology and Forensic Medicine (144 citations), Public Health, Environmental and Occupational Health (204 citations) and Immunology (133 citations). S Stass has collaborated with scholars based in United States. Frequent co-authors include J Mirro, SB Murphy, C-H Pui, Susan L. Melvin, C Hirsch-Ginsberg, L. E. Robertson, MJ Keating, YO Huh, Hagop M. Kantarjian and H. Kantarjian. Their work appears in journals such as Blood, American Journal of Clinical Pathology, The Journal of Pediatrics, British Journal of Haematology and PubMed.

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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