CW Jackson

617 citations
22 papers · 555 · h-index 13

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Erythropoietin and Anemia Treatment
    • Cellular transport and secretion

Papers in

CW Jackson

22 papers receiving 507 citations

Peers

CW Jackson
Comparison fields: 5 of 24
  • Hematology 423
  • Cell Biology 17
  • Biochemistry 7
  • Obstetrics and Gynecology 5
  • Equine 1
Replace T J Kunicki with:
T J Kunicki United States
Jean‐Yves Rinckel France
Bahram Hosseini‐Maaf Sweden
Mònica Martínez Argentina
M. M. Pickles United Kingdom
Katherine L. Pixton United Kingdom
DN Fass United States
Judith M.M. van Eeuwijk Germany
JW Semple Canada
Norma C. Trabold United States
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Citations per field
00.5×2×3×3.5×
T J Kunicki · 1×
Citations per year

Countries citing papers authored by CW Jackson

Since Specialization
Citations

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

Fields of papers citing papers by CW Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside CW Jackson, 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 CW Jackson Line = papers co-authored together CW Jackson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976120
2 1984112
3 199552
4 199033
5 199030
6 198827
7 198421
8 199220
9
Thrombopoietin derived from human embryonic kidney cells stimulates an increase in DNA content of murine megakaryocytes in vivo.
199019
10
Animal models with inherited hematopoietic abnormalities as tools to study thrombopoiesis.
198916
11 198015
12 198315
13 198713
14
Increase in circulating megakaryocyte growth-promoting activity (Meg-GPA) following sublethal irradiation is not related to decreased platelets.
198813
15 199213
16 198012
17
Sex- and strain-related differences in megakaryocytopoiesis and platelet production in C3H and BALB/c mice.
19928
18 19948
19
The role of genotype, genomic imprinting, and sex hormones in platelet and megakaryocyte production.
19943
20
Altered platelet kinetics in thrombocytopenic mice with L5178Y leukemia.
19802

About CW Jackson

CW Jackson is a scholar working on Hematology, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 22 papers that have together received 555 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (19 papers), Acute Myeloid Leukemia Research (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Hematology (423 citations), Cell Biology (17 citations), Biochemistry (7 citations), Obstetrics and Gynecology (5 citations) and Equine (1 citation). CW Jackson has collaborated with scholars based in United States. Frequent co-authors include RA Ashmun, Alfred Thomas Look, T. P. McDonald, Paula E. Stenberg, Gary Van Houten Dahl, M Reddington, EK Novak, Lijie Zhen, RT Swank and JE Rehg. Their work appears in journals such as Blood 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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