B.J. Wagner

47 papers receiving 1.8k citations

B.J. Wagner's Hit Papers

A historical perspective of explainable Artificial Intelligence 2020 · 256 citations
2560+12+24Years since publication100200300400500

Peers

B.J. Wagner
Comparison fields: 5 of 155
  • Health Informatics 45
  • Oncology 495
  • Ophthalmology 156
  • Immunology 282
  • Clinical Biochemistry 90
Replace Julio Vera with:
Julio Vera Germany
Sebastian Haferkamp Germany
Xin Luo China
Nicola Waddell Australia
Andrea Sboner United States
Pedro Carmona‐Sáez Spain
Xia Jiang United States
Kyle Ellrott United States
Žiga Avsec Germany
Obi L. Griffith United States
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by B.J. Wagner

Since Specialization
Citations

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

Fields of papers citing papers by B.J. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.J. Wagner. 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 B.J. Wagner. The network helps show where B.J. Wagner may publish in the future.

Co-authors

The 25 scholars most cited alongside B.J. Wagner, 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 B.J. Wagner Line = papers co-authored together B.J. Wagner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The SIF binding element confers sis/PDGF inducibility onto the c‐fos promoter.
Hit paper breakdown →
1990586
2
A historical perspective of explainable Artificial Intelligence
Hit paper breakdown →
2020256
3 199584
4 200867
5 200659
6 200350
7 200550
8 200742
9 202438
10 197738
11
Global gene profiling reveals novel glucocorticoid induced changes in gene expression of human lens epithelial cells.
200537
12 199234
13 200333
14 197831
15 200229
16 198427
17 200325
18 200324
19 198223
20 200623

About B.J. Wagner

B.J. Wagner is a scholar working on Molecular Biology, Cancer Research, Ophthalmology, Oncology and Physiology, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Connexins and lens biology (21 papers), Ubiquitin and proteasome pathways (5 papers), Biochemical effects in animals (5 papers), Intraocular Surgery and Lenses (5 papers), Protease and Inhibitor Mechanisms (5 papers), Peptidase Inhibition and Analysis (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Plant Toxicity and Pharmacological Properties (3 papers). The work is most often cited by research in Health Informatics (45 citations), Oncology (495 citations), Ophthalmology (156 citations), Immunology (282 citations) and Clinical Biochemistry (90 citations). B.J. Wagner has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Christine Hoban, Brent Cochran, Timothy E. Hayes, Niranjan Awasthi, Joyce W. Margolis, Tarek R. Besold, Ludovik Çoba, Roberto Confalonieri, S.-C.J. Fu and Vanita Gupta. Their work appears in journals such as Experimental Eye Research, Investigative Ophthalmology & Visual Science, Archives of Biochemistry and Biophysics, Current Eye Research and International Archives of Allergy and Immunology.

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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