Nerissa T. Williams

798 total citations
29 papers, 310 citations indexed

About

Nerissa T. Williams is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Nerissa T. Williams has authored 29 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in Nerissa T. Williams's work include Glioma Diagnosis and Treatment (6 papers), Cancer-related Molecular Pathways (6 papers) and Cancer Research and Treatments (5 papers). Nerissa T. Williams is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Cancer-related Molecular Pathways (6 papers) and Cancer Research and Treatments (5 papers). Nerissa T. Williams collaborates with scholars based in United States, Canada and South Korea. Nerissa T. Williams's co-authors include David G. Kirsch, Yan Ma, Lixia Luo, Chang‐Lung Lee, Jordan M. Blum, Diana M. Cardona, Katherine D. Castle, David Van Mater, Everett J. Moding and Chen‐Ming Fan and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Nerissa T. Williams

26 papers receiving 306 citations

Peers

Nerissa T. Williams
Comparison fields: 5 of 71
  • Molecular Biology 133
  • Pulmonary and Respiratory Medicine 123
  • Oncology 94
  • Cancer Research 70
  • Genetics 37
Replace Myung Chang Lee with:
Myung Chang Lee United States
Yaru Sheng China
Sanaz Yahyanejad Netherlands
Narasimha Kumar Karanam United States
Inderjit Daphu Norway
Reem Malek United States
Marni B. Siegel United States
M F Mastik Netherlands
Cori Bradley United States
Mark Chen United States
Myung Chang Lee United States View profile →
Citations per field, relative to Nerissa T. Williams
Nerissa T. Williams · 1×
Citations per year, relative to Nerissa T. Williams
Nerissa T. Williams · 1×

Countries citing papers authored by Nerissa T. Williams

Since Specialization
Citations

This map shows the geographic impact of Nerissa 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 Nerissa 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 Nerissa T. Williams more than expected).

Fields of papers citing papers by Nerissa T. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nerissa T. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Nerissa T. Williams. A scholar is included among the top collaborators of Nerissa T. 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 Nerissa T. Williams. Nerissa T. 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
# Work Indexed citations
1 0
2 2
3 6
4 0
5 12
6 0
7 3
8 3
9 4
10 6
11 4
12 12
13 6
14 26
15 23
16 10
17 14
18 36
19 24
20 49

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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