SA Stass

1.3k citations
26 papers · 1.0k · h-index 13

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 12
    • Acute Myeloid Leukemia Research 11
    • Retinoids in leukemia and cellular processes 6
    • S100 Proteins and Annexins 4
    • Advanced biosensing and bioanalysis techniques 4

SA Stass

26 papers receiving 1.0k citations

Peers

SA Stass
Comparison fields: 5 of 53
  • Hematology 524
  • Genetics 228
  • Oncology 399
  • Cancer Research 104
  • Molecular Biology 508
Replace Milada S. Vala with:
Milada S. Vala United States
Elisabeth Oppliger Leibundgut Switzerland
C. Vasselon France
JM Trujillo United States
N. Bekele United States
Laurence Lodé France
M Beran United States
Masato Shikami Japan
Po Yee Mak United States
Christian Wuchter Germany
SA Stass relative to Milada S. Vala United States Milada S. Vala's profile →
Citations per field
00.5×1.7×
Milada S. Vala · 1×
Citations per year

Countries citing papers authored by SA Stass

Since Specialization
Citations

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

Fields of papers citing papers by SA Stass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993230
2 1993216
3 198997
4 199266
5 199262
6 198861
7 198955
8 198951
9 199245
10 199436
11 199434
12 199528
13 198619
14 19899
15 19924
16 19904
17 19924
18 19944
19 19894
20 19862

About SA Stass

SA Stass is a scholar working on Hematology, Molecular Biology, Genetics, Rheumatology and Oncology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (12 papers), Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Retinoids in leukemia and cellular processes (6 papers), Eosinophilic Disorders and Syndromes (6 papers), Acute Lymphoblastic Leukemia research (4 papers), S100 Proteins and Annexins (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Hematology (524 citations), Genetics (228 citations), Oncology (399 citations), Cancer Research (104 citations) and Molecular Biology (508 citations). SA Stass has collaborated with scholars based in United States. Frequent co-authors include Yun Yang, Maher Albitar, EJ Freireich, JM Trujillo, Moshe Talpaz, MS Lee, HM Kantarjian, A LeMaistre, AB Deisseroth and KS Chang. Their work appears in journals such as Blood.

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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