S. K.

435 citations
23 papers · 337 · h-index 11

Impact in

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

Papers in

    • Acute Myeloid Leukemia Research 9
    • Hematopoietic Stem Cell Transplantation 6
    • Retinoids in leukemia and cellular processes 3
    • Epigenetics and DNA Methylation 2

S. K.

22 papers receiving 330 citations

Peers

S. K.
Comparison fields: 5 of 51
  • Hematology 176
  • Genetics 61
  • Public Health, Environmental and Occupational Health 105
  • Immunology 46
  • Rheumatology 28
Replace Silvia Manfroi with:
Silvia Manfroi Italy
Eiji Usui Japan
Kiyomi Morita United States
Mikiya Endo Japan
Motohiro Tsuzuki Japan
Joseph Mırro United States
Erica Simeone Italy
Manabu Sotomatsu Japan
G Prentice Australia
Mircéa Adam France
S. K. relative to Silvia Manfroi Italy Silvia Manfroi's profile →
Citations per field
00.5×1.5×2.3×
Silvia Manfroi · 1×
Citations per year

Countries citing papers authored by S. K.

Since Specialization
Citations

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

Fields of papers citing papers by S. K.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199945
2 199943
3 200331
4 199128
5 199826
6 200722
7 199720
8 200220
9 200515
10 200014
11 202210
12 199910
13 19979
14 19988
15 19977
16 20036
17 19986
18 20045
19 20024
20 19994

About S. K.

S. K. is a scholar working on Hematology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 23 papers that have together received 337 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Hematopoietic Stem Cell Transplantation (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Viral-associated cancers and disorders (3 papers), Retinoids in leukemia and cellular processes (3 papers), Epigenetics and DNA Methylation (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Hematology (176 citations), Genetics (61 citations), Public Health, Environmental and Occupational Health (105 citations), Immunology (46 citations) and Rheumatology (28 citations). S. K. has collaborated with scholars based in China, Hong Kong and India. Frequent co-authors include Sy Ha, T.S.K. Wan, Yok‐Lam Kwong, Raymond Liang, Gcf Chan, W.Y. Au, Albert K. W. Lie, WY Au, YL Lau and W.Y. Au. Their work appears in journals such as Hematological Oncology, British Journal of Haematology, Annals of Hematology, Journal of Clinical Oncology and The International Journal of Biochemistry & Cell Biology.

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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