W R Baumbach

1.8k citations
31 papers · 1.5k indexed · h-index 19
Topics
Growth Hormone and Insulin-like Growth Factors (18 papers)Virus-based gene therapy research (5 papers)Pancreatic function and diabetes (5 papers)

In The Last Decade

W R Baumbach

31 papers receiving 1.4k citations

Peers

W R Baumbach
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 818
  • Molecular Biology 671
  • Genetics 292
  • Surgery 201
  • Cancer Research 188
Replace Peter Nissley with:
Peter Nissley United States
Trevor N. Collingwood United States
John R. Morrison Australia
Arend Brinkman Netherlands
Shigenori Ogata Japan
Vincenzo Papa Italy
J L Carpentier Switzerland
Sigrun Mink Germany
Chao‐Xing Yuan United States
Manjula Pandey United States
W R Baumbach relative to Peter Nissley United States Peter Nissley's profile →
Citations per field
00.5×3.4×
Peter Nissley · 1×
Citations per year

Countries citing papers authored by W R Baumbach

Since Specialization
Citations

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

Fields of papers citing papers by W R Baumbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W R Baumbach. 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 W R Baumbach. The network helps show where W R Baumbach may publish in the future.

Co-authorship network of co-authors of W R Baumbach

This figure shows the co-authorship network connecting the top 25 collaborators of W R Baumbach. A scholar is included among the top collaborators of W R Baumbach 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 W R Baumbach. W R Baumbach 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
#WorkIndexed citations
1 30
2 9
3 9
4 116
5 33
6 72
7 37
8 15
9 10
10 27
11 15
12 11
13 66
14 13
15 21
16 6
17 28
18 99
19 35
20 171

About W R Baumbach

W R Baumbach is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (18 papers), Virus-based gene therapy research (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (818 citations), Cancer Research (188 citations) and Genetics (292 citations). W R Baumbach has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include John S. Logan, Brendan Bingham, Michael D. Cole, James R. Paulson, Janice A. Brown, Homayoun Sadeghi, Ulrich K. Laemmli, Kenneth W. Adolph, PE Lobie and M. J. Waters. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

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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