Natalie M. Williams

63 total papers · 680 total citations
35 papers, 417 citations indexed

About

Natalie M. Williams is a scholar working on Dermatology, Epidemiology and Oncology. According to data from OpenAlex, Natalie M. Williams has authored 35 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Dermatology, 13 papers in Epidemiology and 9 papers in Oncology. Recurrent topics in Natalie M. Williams's work include Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (7 papers) and Dermatologic Treatments and Research (7 papers). Natalie M. Williams is often cited by papers focused on Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (7 papers) and Dermatologic Treatments and Research (7 papers). Natalie M. Williams collaborates with scholars based in United States, Saudi Arabia and Australia. Natalie M. Williams's co-authors include Elizabeth Gillespie, Rhonda L. Stuart, Louise Wright, Despina Kotsanas, Ali Rajabi‐Estarabadi, Jan Bell, Tony M. Korman, Kylie Snook, Natalia Jaimes and Keyvan Nouri and has published in prestigious journals such as Journal of Investigative Dermatology, SLEEP and Neurosurgery.

In The Last Decade

Natalie M. Williams

30 papers receiving 407 citations

Author Peers

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

Author						Papers	Cites
Natalie M. Williams	109	79	76	73	72	35	417
Adam D. Lipworth	96 0.9×	158 2.0×	142 1.9×	205 2.8×	119 1.7×	19	483
Jacqueline Bork	32 0.3×	128 1.6×	133 1.8×	67 0.9×	34 0.5×	34	437
F. Schwab	24 0.2×	79 1.0×	41 0.5×	96 1.3×	23 0.3×	37	457
Giovanni Orengo	18 0.2×	103 1.3×	34 0.4×	159 2.2×	17 0.2×	18	406
Maria Bălăşoiu	13 0.1×	120 1.5×	38 0.5×	79 1.1×	59 0.8×	54	478
Marie J. Gribble	17 0.2×	177 2.2×	42 0.6×	50 0.7×	41 0.6×	19	404
John Jairo Zuleta Tobón	24 0.2×	159 2.0×	26 0.3×	39 0.5×	24 0.3×	70	414
Marta Herrero	14 0.1×	154 1.9×	87 1.1×	55 0.8×	13 0.2×	33	477
Chander Prakash Yadav	28 0.3×	61 0.8×	15 0.2×	23 0.3×	24 0.3×	43	461
Egil Lingaas	12 0.1×	40 0.5×	34 0.4×	57 0.8×	29 0.4×	29	477

Countries citing papers authored by Natalie M. Williams

Since Specialization

Citations

This map shows the geographic impact of Natalie 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 Natalie 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 Natalie M. Williams more than expected).

Fields of papers citing papers by Natalie M. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie M. Williams. A scholar is included among the top collaborators of Natalie 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 Natalie M. Williams. Natalie M. 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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