Rashida Williams

18 total papers · 607 total citations
12 papers, 337 citations indexed

About

Rashida Williams is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rashida Williams has authored 12 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rashida Williams's work include Advanced Neuroimaging Techniques and Applications (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Rashida Williams is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Rashida Williams collaborates with scholars based in United States, Canada and United Kingdom. Rashida Williams's co-authors include Joseph A. Frank, Tsang‐Wei Tu, L. Christine Turtzo, Neekita Jikaria, Jason Moffat, Anthony B. Mak, H. D. Gesser, Andrey I. Shukalyuk, Richard A. Long and Troy Ketela and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Annals of Neurology.

In The Last Decade

Rashida Williams

12 papers receiving 327 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rashida Williams	117	82	60	55	50	12	337
C. Provost	86 0.7×	64 0.8×	82 1.4×	55 1.0×	67 1.3×	22	302
Takashi Yamamoto	110 0.9×	35 0.4×	79 1.3×	88 1.6×	40 0.8×	15	378
Junjeong Choi	121 1.0×	75 0.9×	88 1.5×	70 1.3×	37 0.7×	20	374
F. Wilmes	70 0.6×	72 0.9×	31 0.5×	52 0.9×	88 1.8×	7	346
Antje Dreyer	72 0.6×	73 0.9×	17 0.3×	72 1.3×	52 1.0×	13	374
Vanessa Milano	83 0.7×	65 0.8×	26 0.4×	53 1.0×	47 0.9×	9	328
Janine Ring	116 1.0×	72 0.9×	143 2.4×	64 1.2×	68 1.4×	16	376
Deependra Mahato	88 0.8×	38 0.5×	31 0.5×	54 1.0×	31 0.6×	18	349
Alex M. Spence	105 0.9×	127 1.5×	60 1.0×	53 1.0×	36 0.7×	16	400
H. Christopher Lawson	70 0.6×	40 0.5×	37 0.6×	43 0.8×	49 1.0×	9	364

Countries citing papers authored by Rashida Williams

Since Specialization

Citations

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

Fields of papers citing papers by Rashida Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashida Williams

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

All Works

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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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