CA Sieff

1.1k citations
25 papers · 906 · h-index 16

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Platelet Disorders and Treatments
    • Cell Adhesion Molecules Research

Papers in

    • Hematopoietic Stem Cell Transplantation 9
    • Platelet Disorders and Treatments 5
    • Immune Response and Inflammation 8
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 5

CA Sieff

25 papers receiving 875 citations

Peers

CA Sieff
Comparison fields: 5 of 62
  • Hematology 471
  • Immunology and Allergy 122
  • Immunology 394
  • Genetics 146
  • Oncology 203
Replace AG Leary with:
AG Leary United States
T M Dexter United Kingdom
P. M. Lansdorp Canada
JM Kerst Netherlands
SC Clark United States
DC Young United States
R.S. Hill United States
WE Fibbe Netherlands
CN Abboud United States
JF DiPersio United States
CA Sieff relative to AG Leary United States AG Leary's profile →
Citations per field
00.5×
AG Leary · 1×
Citations per year

Countries citing papers authored by CA Sieff

Since Specialization
Citations

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

Fields of papers citing papers by CA Sieff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985131
2 1988111
3 198796
4 198982
5 199566
6 199363
7 198952
8 199052
9
Identification of distinct elements of the stromal microenvironment that control human hematopoietic stem/progenitor cell growth and differentiation.
199842
10 198933
11 199628
12 198626
13 199426
14 199326
15 198915
16 198715
17 198810
18 19899
19 19897
20 19865

About CA Sieff

CA Sieff is a scholar working on Hematology, Immunology, Genetics, Physiology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 906 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Immune Response and Inflammation (8 papers), Immune Cell Function and Interaction (7 papers), Blood disorders and treatments (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Platelet Disorders and Treatments (5 papers), T-cell and B-cell Immunology (5 papers) and Blood properties and coagulation (3 papers). The work is most often cited by research in Hematology (471 citations), Immunology and Allergy (122 citations), Immunology (394 citations), Genetics (146 citations) and Oncology (203 citations). CA Sieff has collaborated with scholars based in United States. Frequent co-authors include DG Nathan, DV Faller, SG Emerson, S C Clark, David G. Nathan, Emma Beaumont, Bernard Mathey-Prévôt, Lodish Hf, Yayoi Shikama and S Tsai. Their work appears in journals such as Blood, Journal of Clinical Investigation 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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