Nicholas Williams

3.4k total citations · 1 hit paper
16 papers, 430 citations indexed

About

Nicholas Williams is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Nicholas Williams has authored 16 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 7 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Nicholas Williams's work include Acute Myeloid Leukemia Research (7 papers), Cancer Genomics and Diagnostics (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Nicholas Williams is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Cancer Genomics and Diagnostics (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Nicholas Williams collaborates with scholars based in United Kingdom, United States and Norway. Nicholas Williams's co-authors include Jyoti Nangalia, Peter J. Campbell, Emily Mitchell, Kevin J. Dawson, Luiza Moore, Anthony R. Green, E. Joanna Baxter, James Hewinson, Anna L. Godfrey and Joe Lee and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Nicholas Williams

16 papers receiving 426 citations

Hit Papers

Life histories of myeloproliferative neoplasms inferred f... 2022 2026 2023 2024 2022 40 80 120

Peers

Nicholas Williams
Comparison fields: 5 of 60
  • Hematology 175
  • Molecular Biology 169
  • Genetics 138
  • Cancer Research 106
  • Physiology 45
Replace Emilie‐Fleur Gautier with:
Emilie‐Fleur Gautier France
Chengming Fei China
Clare Hodkinson United Kingdom
Julien Broséus France
Jamil Dierov United States
Carla de Boer Netherlands
Kaveh Jaseb Iran
Yajuan Cui China
Kalliopi N. Manola Greece
C.C So China
Emilie‐Fleur Gautier France View profile →
Citations per field, relative to Nicholas Williams
Nicholas Williams · 1×
Citations per year, relative to Nicholas Williams
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Countries citing papers authored by Nicholas Williams

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Williams. A scholar is included among the top collaborators of Nicholas Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas Williams. Nicholas Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 2
2 36
3 13
4 7
5 6
6 27
7
Life histories of myeloproliferative neoplasms inferred from phylogenies. breakdown →
148
8 6
9 1
10 3
11 84
12 20
13 1
14 35
15 2
16 39

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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