Robert T. Williams

765 citations
25 papers · 519 · h-index 11

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
  • Radiation top 10%
    • Radiation Detection and Scintillator Technologies
    • Nuclear Physics and Applications

Papers in

Robert T. Williams

21 papers receiving 501 citations

Peers

Robert T. Williams
Comparison fields: 5 of 102
  • Hematology 91
  • Radiation 72
  • Genetics 77
  • Aging 11
  • Cancer Research 34
Replace Mary Huang with:
Mary Huang United States
Jack Lindh Sweden
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E. Dühmke Germany
Yolanda D. Tseng United States
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Robert T. Williams relative to Mary Huang United States Mary Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert T. Williams

Since Specialization
Citations

This map shows the geographic impact of Robert T. 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 Robert T. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Williams more than expected).

Fields of papers citing papers by Robert T. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200988
2 201877
3 202069
4 199548
5 202244
6 202043
7 199035
8 199234
9 197829
10 202010
11 198410
12 20227
13 19785
14 20025
15 20234
16 19563
17
Review of research on human biological sample collections
20062
18 19831
19 19711
20 19841

About Robert T. Williams

Robert T. Williams is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Hematology, Aging and Education, having authored 25 papers that have together received 519 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Teacher Professional Development and Motivation (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Folate and B Vitamins Research (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Hematology (91 citations), Radiation (72 citations), Genetics (77 citations), Aging (11 citations) and Cancer Research (34 citations). Robert T. Williams has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Jai Singh, Grégory Bizarri, W.W. Moses, А. Н. Васильев, Urban Lendahl, Michael Lardelli, Smith Giri, Amer M. Zeidan, Maximilian Stahl and Rong Wang. Their work appears in journals such as Counseling and Values, Pediatric Research, QJM, Nuclear Medicine Communications and Genetics.

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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