Charles N. Weber

787 total citations
19 papers, 634 citations indexed

About

Charles N. Weber is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Charles N. Weber has authored 19 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Hepatology. Recurrent topics in Charles N. Weber's work include Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (5 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Charles N. Weber is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (5 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Charles N. Weber collaborates with scholars based in United States, Japan and United Kingdom. Charles N. Weber's co-authors include George J. Cerniglia, Anjali Gupta, Kiyotoshi Sekiguchi, Mitchell Machtay, Randal S. Weber, Ruth J. Muschel, W. Gillies McKenna, Michael D. Feldman, Vincent J. Bakanauskas and Jeffrey D. Goldsmith and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Radiology.

In The Last Decade

Charles N. Weber

19 papers receiving 627 citations

Peers

Charles N. Weber
Comparison fields: 5 of 73
  • Molecular Biology 324
  • Oncology 155
  • Surgery 130
  • Hepatology 123
  • Pulmonary and Respiratory Medicine 115
Replace Hester van Cruijsen with:
Hester van Cruijsen Netherlands
Shichuan Zhang United States
Mikio Monji Japan
C. Ostheimer Germany
Shuhua Wei China
Christoph Mancao United States
Renjie Yang China
Eiichi Sasaki Japan
Hua-Qing Min China
Ralf Kemmerling Austria
Hester van Cruijsen Netherlands View profile →
Citations per field, relative to Charles N. Weber
Charles N. Weber · 1×
Citations per year, relative to Charles N. Weber
Charles N. Weber · 1×

Countries citing papers authored by Charles N. Weber

Since Specialization
Citations

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

Fields of papers citing papers by Charles N. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles N. Weber. 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 Charles N. Weber. The network helps show where Charles N. Weber may publish in the future.

Co-authorship network of co-authors of Charles N. Weber

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 1
3 36
4 5
5 45
6 1
7 2
8 44
9 2
10 30
11 2
12 4
13 45
14 11
15 39
16 2
17 72
18
Local recurrence in head and neck cancer: relationship to radiation resistance and signal transduction.
288
19 4

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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