SA Stass

1.3k citations
26 papers · 1.1k · 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
    • Chronic Lymphocytic Leukemia Research 10

SA Stass

26 papers receiving 1.1k citations

Peers

SA Stass
Comparison fields: 5 of 55
  • Hematology 561
  • Genetics 252
  • Oncology 411
  • Molecular Biology 529
  • Cancer Research 102
Replace Milada S. Vala with:
Milada S. Vala United States
Christian Vasselon France
Miloslav Beran United States
Nebiyou B Bekele United States
Helena Ågerstam Sweden
Juan Antonio Castillejo Spain
Masato Shikami Japan
Christian Wuchter Germany
JP Magaud France
Scott R. Daigle United States
SA Stass relative to Milada S. Vala United States Milada S. Vala's profile →
Citations per field
00.5×1.6×
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 1993234
2 1993226
3 1989103
4 198874
5 199269
6 199265
7 198960
8 198959
9 199250
10 199438
11 199437
12 199530
13 198620
14 198910
15 19924
16 19944
17 19894
18 19904
19 19894
20 19924

About SA Stass

SA Stass is a scholar working on Hematology, Genetics, Rheumatology, Molecular Biology and Oncology, having authored 26 papers that have together received 1.1k 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 (561 citations), Genetics (252 citations), Oncology (411 citations), Molecular Biology (529 citations) and Cancer Research (102 citations). SA Stass has collaborated with scholars based in United States and Lebanon. Frequent co-authors include Yun Sheng Yang, Maher X. Albitar, EJ Freireich, JM Trujillo, Moshe Talpaz, MS Lee, HM Kantarjian, Anne 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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