Jonathan S. Wall

4.6k citations
145 papers · 3.5k indexed · h-index 34

Jonathan S. Wall

138 papers receiving 3.5k citations

Peers

Jonathan S. Wall
Comparison fields: 5 of 122
  • Molecular Biology 2.6k
  • Nephrology 261
  • Radiology, Nuclear Medicine and Imaging 776
  • Physiology 844
  • Cell Biology 346
Replace Gray D. Shaw with:
Gray D. Shaw United States
David R. Booth Australia
Edouard M. Bevers Netherlands
Amos Baruch United States
Atsushi Muraguchi Japan
Hiroko Iwasaki Japan
Shreeram Akilesh United States
Raymond B. Birge United States
Kevin L. Moore United States
Raymond J. Paxton United States
Jonathan S. Wall relative to Gray D. Shaw United States Gray D. Shaw's profile →
Citations per field
00.5×4.2×
Gray D. Shaw · 1×
Citations per year

Countries citing papers authored by Jonathan S. Wall

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan S. Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan S. Wall. 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 Jonathan S. Wall. The network helps show where Jonathan S. Wall may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20232
4 202321
5 20221
6 20211
7 202012
8 201718
9 20179
10 20175
11 201718
12 201338
13 201071
14 201049
15 200920
16 200821
17 200711
18 200462
19 200349
20 2001102

About Jonathan S. Wall

Jonathan S. Wall is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Physiology, Nephrology and Oncology, having authored 145 papers that have together received 3.5k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (85 papers), Medical Imaging Techniques and Applications (26 papers), Alzheimer's disease research and treatments (25 papers), Radiopharmaceutical Chemistry and Applications (23 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Medical Imaging and Pathology Studies (16 papers), Protein Structure and Dynamics (11 papers) and Drug Transport and Resistance Mechanisms (11 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Nephrology (261 citations), Radiology, Nuclear Medicine and Imaging (776 citations), Physiology (844 citations) and Cell Biology (346 citations). Jonathan S. Wall has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Alan Solomon, Stephen J. Kennel, Deborah Weiss, Charles L. Murphy, Alan Stuckey, Rudi Hrncic, Maria Schell, Tina Richey, Emily B. Martin and Angela Williams. Their work appears in journals such as Amyloid, Blood, PLoS ONE, Biochemistry and Biochemical and Biophysical Research Communications.

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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