Kimberly Forsten‐Williams

817 total citations
31 papers, 638 citations indexed

About

Kimberly Forsten‐Williams is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Kimberly Forsten‐Williams has authored 31 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Cell Biology and 6 papers in Surgery. Recurrent topics in Kimberly Forsten‐Williams's work include Proteoglycans and glycosaminoglycans research (14 papers), Fibroblast Growth Factor Research (11 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). Kimberly Forsten‐Williams is often cited by papers focused on Proteoglycans and glycosaminoglycans research (14 papers), Fibroblast Growth Factor Research (11 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). Kimberly Forsten‐Williams collaborates with scholars based in United States, Germany and India. Kimberly Forsten‐Williams's co-authors include Matthew A. Nugent, Manoj Gopalakrishnan, Michael Fannon, Uwe C. Täuber, Nader Rahimi, Maria Mitsi, Tregei Starr, Brian Storrie, Chia Lin Chu and Selim Elhadj and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and The FASEB Journal.

In The Last Decade

Kimberly Forsten‐Williams

28 papers receiving 628 citations

Peers

Kimberly Forsten‐Williams
Comparison fields: 5 of 85
  • Molecular Biology 378
  • Cell Biology 274
  • Immunology and Allergy 86
  • Surgery 75
  • Cancer Research 68
Replace Jo Ann Buczek‐Thomas with:
Jo Ann Buczek‐Thomas United States
Yohei Nishi Japan
Jennifer L. Koetsier United States
Zhizhan Gu United States
Judith Yannariello‐Brown United States
Prakash Vempati United States
Nutan Prasain United States
Cosetta Ravelli Italy
Liqun Yin China
Martin Gregor Czechia
Jo Ann Buczek‐Thomas United States View profile →
Citations per field, relative to Kimberly Forsten‐Williams
Kimberly Forsten‐Williams · 1×
Citations per year, relative to Kimberly Forsten‐Williams
Kimberly Forsten‐Williams · 1×

Countries citing papers authored by Kimberly Forsten‐Williams

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Forsten‐Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Forsten‐Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Forsten‐Williams. A scholar is included among the top collaborators of Kimberly Forsten‐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 Kimberly Forsten‐Williams. Kimberly Forsten‐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 10
2 1
3 11
4 12
5
Simulation of FGF-2 Binding with Receptors on Cell Surface on the Wall in a Bioreactor System.
0
6 66
7 6
8 8
9 10
10 12
11 29
12 3
13 6
14 37
15 23
16 62
17 2
18 10
19 16
20 85

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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