Jeff N. Vanderbilt

1.1k citations
15 papers · 919 indexed · h-index 13
Topics
Neonatal Respiratory Health Research (4 papers)RNA and protein synthesis mechanisms (3 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)
Partner nations
United StatesJapan

In The Last Decade

Jeff N. Vanderbilt

15 papers receiving 900 citations

Peers

Jeff N. Vanderbilt
Comparison fields: 5 of 91
  • Molecular Biology 436
  • Genetics 294
  • Pulmonary and Respiratory Medicine 222
  • Immunology 172
  • Endocrinology, Diabetes and Metabolism 139
Replace M.F. El Etreby with:
M.F. El Etreby Germany
Anne-Marie Pulichino Canada
H. Arita Japan
Nakaaki Ohsawa Japan
R. S. Gilmour United Kingdom
E. P. Slater Germany
Christy R. Hagan United States
F. D'Adamio Italy
Qingtian Li United States
Jimena Druker Argentina
Jeff N. Vanderbilt relative to M.F. El Etreby Germany M.F. El Etreby's profile →
Citations per field
00.5×1.5×
M.F. El Etreby · 1×
Citations per year

Countries citing papers authored by Jeff N. Vanderbilt

Since Specialization
Citations

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

Fields of papers citing papers by Jeff N. Vanderbilt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff N. Vanderbilt

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 13
2 1
3 78
4 23
5 86
6 33
7 17
8 35
9 27
10 92
11 312
12 12
13 27
14 13
15 150

About Jeff N. Vanderbilt

Jeff N. Vanderbilt is a scholar working on Biophysics, Immunology and Allergy and Molecular Biology, having authored 15 papers that have together received 919 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (4 papers), RNA and protein synthesis mechanisms (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Behavioral Neuroscience (47 citations), Genetics (294 citations) and Endocrinology, Diabetes and Metabolism (139 citations). Jeff N. Vanderbilt has collaborated with scholars based in United States and Japan. Frequent co-authors include Keith R. Yamamoto, Roger L. Miesfeld, Bonnie A. Maler, John N. Anderson, Leland G. Dobbs, Kerry Bloom, Robert Gonzalez, Lennell Allen, Steven K. Yoshinaga and Leonard P. Freedman. Their work appears in journals such as Science, Journal of Biological Chemistry and Biochemistry.

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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