Michelle M. Williams

2.7k citations
41 papers · 1.5k indexed · h-index 21
Topics
Cancer Cells and Metastasis (5 papers)Cell death mechanisms and regulation (5 papers)Epigenetics and DNA Methylation (5 papers)
Journals
Journal of Clinical InvestigationNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Michelle M. Williams

40 papers receiving 1.5k citations

Peers

Michelle M. Williams
Comparison fields: 5 of 106
  • Molecular Biology 799
  • Oncology 294
  • Cancer Research 221
  • Immunology 213
  • Pulmonary and Respiratory Medicine 198
Replace Alberto Bavelloni with:
Alberto Bavelloni Italy
Gerard A. Rodrigues United States
Jianfeng Shen China
Keiko Fujikawa Japan
Anika Agarwal United States
Xiaohong Leng United States
Xiaobing Qian United States
Maria P. Arrate United States
Vegesna Radha India
Michelle M. Williams relative to Alberto Bavelloni Italy Alberto Bavelloni's profile →
Citations per field
00.5×2.6×
Alberto Bavelloni · 1×
Citations per year

Countries citing papers authored by Michelle M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Michelle M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle M. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle M. Williams. A scholar is included among the top collaborators of Michelle M. 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 Michelle M. Williams. Michelle M. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 32
3 28
4 11
5 26
6 52
7 47
8 19
9 56
10 23
11 41
12
Photoperiod Affects Organ Specific Glucose Metabolism in Male Siberian Hamsters (Phodopus sungorus)
2
13 69
14 37
15 2
16 19
17 72
18 52
19 288
20 27

About Michelle M. Williams

Michelle M. Williams is a scholar working on Oncology, Biological Psychiatry and Cancer Research, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cell death mechanisms and regulation (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Hematology (168 citations), Cancer Research (221 citations) and Ophthalmology (122 citations). Michelle M. Williams has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Rebecca S. Cook, Donna J. Hicks, Aaron Nguyen, Carla Heise, Sharon L. Aukerman, Leslie A. Krushel, Helen Brady, Paul W. Hollenbach, Kyle J. MacBeth and Yuhong Ning. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

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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