N Williams

2.8k citations
54 papers · 2.3k indexed · h-index 25

N Williams

53 papers receiving 2.0k citations

Peers

N Williams
Comparison fields: 5 of 98
  • Hematology 1.3k
  • Immunology 734
  • Genetics 355
  • Oncology 383
  • Immunology and Allergy 75
Replace R Mertelsmann with:
R Mertelsmann Germany
TR Bradley Australia
LL Sensenbrenner United States
Jay N. Lozier United States
Alec Morley Australia
Manuel E. Kaplan United States
H Rochant France
Elizabeth Naparstek Israel
Rose Ann Padua United Kingdom
Elliott B. Grossbard United States
N Williams relative to R Mertelsmann Germany R Mertelsmann's profile →
Citations per field
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Citations per year

Countries citing papers authored by N Williams

Since Specialization
Citations

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

Fields of papers citing papers by N Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20223
2 20221
3 20211
4 20201
5 201910
6 200726
7
Classes of primitive murine megakaryocytic progenitor cells.
199410
8 199262
9
Compensatory mechanisms in platelet production: the response of Sl/Sld mice to 5-fluorouracil.
199110
10
Megakaryocyte growth factors.
19901
11
The roles of factors from lung in murine megakaryocytopoiesis.
19895
12 198526
13 198323
14
Maturation and regulation of megakaryocytopoiesis.
197945
15
Differences in the buoyant density characteristics of murine granulocyte-macrophage progenitor cells cloned in the presence of serum and/or hemolysate.
19788
16 197872
17
Analysis of populations of macrophage-granulocyte progenitor cells stimulated by activities in mouse lung-conditioned medium.
197717
18 19748
19 1974254
20 197231

About N Williams

N Williams is a scholar working on Equine, Hematology and Immunology, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (15 papers), Hematopoietic Stem Cell Transplantation (11 papers), Glycosylation and Glycoproteins Research (8 papers), Immune Response and Inflammation (8 papers), Proteoglycans and glycosaminoglycans research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Mesenchymal stem cell research (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Hematology (1.3k citations), Immunology (734 citations) and Genetics (355 citations). N Williams has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Malcolm A.S. Moore, D Metcalf, Heather Jackson, Richard Eger, Gary Spitzer, L.J. Guilbert, NN Iscove, Donald J. Nelson, Ken Shortman and Ivan Bertoncello. Their work appears in journals such as Journal of Cellular Physiology, Blood, Cell Proliferation, JNCI Journal of the National Cancer Institute and Immunology and 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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2026