Eli S. Williams

1.1k citations
40 papers · 777 · h-index 17

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Genomic variations and chromosomal abnormalities
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

    • DNA Repair Mechanisms 6
    • Glioma Diagnosis and Treatment 5
    • Genomic variations and chromosomal abnormalities 4
    • Chronic Lymphocytic Leukemia Research 3

Eli S. Williams

35 papers receiving 769 citations

Peers

Eli S. Williams
Comparison fields: 5 of 72
  • Genetics 173
  • Oncology 235
  • Cancer Research 125
  • Molecular Biology 442
  • Aging 7
Replace Tong Yin with:
Tong Yin China
Meiying Li China
Mara Kornete Canada
Takahiro Suzuki Japan
Shoichiro Takeishi Japan
Michael Deftos United States
Grzegorz Terszowski Switzerland
Yaser Atlasi Netherlands
Fiorenzo A. Peverali Italy
Maria Ferletta Sweden
Eli S. Williams relative to Tong Yin China Tong Yin's profile →
Citations per field
00.5×1.5×
Tong Yin · 1×
Citations per year

Countries citing papers authored by Eli S. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Eli S. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009147
2 200887
3 200968
4 201060
5 200549
6 201042
7 201240
8 201325
9 202124
10 201820
11 201119
12 201919
13 201018
14 200917
15 200517
16 201216
17 201716
18 201315
19 201811
20 201910

About Eli S. Williams

Eli S. Williams is a scholar working on Molecular Biology, Genetics, Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 777 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), DNA Repair Mechanisms (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Glioma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Genetics (173 citations), Oncology (235 citations), Cancer Research (125 citations), Molecular Biology (442 citations) and Aging (7 citations). Eli S. Williams has collaborated with scholars based in United States, Brazil and Peru. Frequent co-authors include Philip J. Tofilon, Kevin Camphausen, Muhammad Jamal, Amy M. McCord, Susan M. Bailey, Prakash Chinnaiyan, Alejandro A. Gru, David Cerna, Barbara H. Rath and William Burgan. Their work appears in journals such as The American Journal of Surgical Pathology, Clinical Cancer Research, Cancer Research, Radiation Research and Human Pathology.

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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