Bryan E. Welm

5.7k citations
43 papers · 3.4k indexed · 1 hit paper · h-index 23

Bryan E. Welm

43 papers receiving 3.3k citations

Hit Papers

Tumor grafts derived from women with breast cancer authen...6992011202620162021200400600

Peers

Bryan E. Welm
Comparison fields: 5 of 114
  • Oncology 1.6k
  • Cancer Research 691
  • Biotechnology 235
  • Molecular Biology 1.7k
  • Cell Biology 267
Replace George N. Naumov with:
George N. Naumov United States
D J Chaplin United Kingdom
Adina Vultur United States
Ruoxiang Wang United States
Emily A. Liu United States
Monilola A. Olayioye Germany
Chantale T. Guy Canada
Dan Niculescu‐Duvaz United Kingdom
Oddbjørn Straume Norway
Inna Serganova United States
Bryan E. Welm relative to George N. Naumov United States George N. Naumov's profile →
Citations per field
00.5×1.6×
George N. Naumov · 1×
Citations per year

Countries citing papers authored by Bryan E. Welm

Since Specialization
Citations

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

Fields of papers citing papers by Bryan E. Welm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan E. Welm. 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 Bryan E. Welm. The network helps show where Bryan E. Welm may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Bryan E. Welm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bryan E. Welm Line = papers co-authored together Bryan E. Welm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 202310
3 202222
4 20229
5 202123
6 202126
7 202043
8 202022
9 202010
10 20187
11 201857
12 20159
13 201273
14 201219
15 201040
16 20107
17
Conditional activation of fibroblast growth factor receptor (FGFR) 1, but not FGFR2, in prostate cancer cells leads to increased osteopontin induction, extracellular signal-regulated kinase activation, and in vivo proliferation.
200368
18 200391
19 2002412
20 200238

About Bryan E. Welm

Bryan E. Welm is a scholar working on Oncology, Cancer Research, Genetics, Biophysics and Molecular Biology, having authored 43 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (22 papers), Cancer Genomics and Diagnostics (6 papers), Fibroblast Growth Factor Research (4 papers), Immunotherapy and Immune Responses (4 papers), Mesenchymal stem cell research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Estrogen and related hormone effects (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Oncology (1.6k citations), Cancer Research (691 citations), Biotechnology (235 citations), Molecular Biology (1.7k citations) and Cell Biology (267 citations). Bryan E. Welm has collaborated with scholars based in United States, Spain and Norway. Frequent co-authors include Jeffrey M. Rosen, Alana L. Welm, Zena Werb, Margaret A. Goodell, Keith M. Gligorich, Matthew S. Sigman, Tejas P. Pathak, Guoying Wang, Timothy A. Graubert and Yoko S. DeRose. Their work appears in journals such as Cancer Research, Breast Cancer Research, Proceedings of the National Academy of Sciences, Developmental Biology and Nature Medicine.

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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