Edward J. Smith

2.1k citations
34 papers · 1.1k · h-index 19

Impact in

Papers in

Edward J. Smith

32 papers receiving 1.1k citations

Peers

Edward J. Smith
Comparison fields: 5 of 98
  • Pathology and Forensic Medicine 386
  • Developmental Neuroscience 57
  • Oncology 314
  • Cellular and Molecular Neuroscience 225
  • Cancer Research 123
Replace Tim Schmidt with:
Tim Schmidt United States
Hirozumi Sawai Japan
Andrea Ciarmiello Italy
Toshiyuki Araki Japan
Benjamin P. Brown United States
S. Sengupta United States
Sara-Jane Dunn United Kingdom
Di Zhong China
Ashish Rajput Canada
David Ko United States
Edward J. Smith relative to Tim Schmidt United States Tim Schmidt's profile →
Citations per field
00.5×7.3×
Tim Schmidt · 1×
Citations per year

Countries citing papers authored by Edward J. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004354
2 2011124
3 201470
4 196753
5 200646
6 201345
7 200543
8 202034
9
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
201933
10 201330
11 195826
12 202224
13 202424
14 201822
15 202021
16 202220
17 195920
18 201719
19 201018
20 200118

About Edward J. Smith

Edward J. Smith is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Neurology and Computer Networks and Communications, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Mitochondrial Function and Pathology (8 papers), Neurological disorders and treatments (4 papers), Genetic factors in colorectal cancer (4 papers), Muscle Physiology and Disorders (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (386 citations), Developmental Neuroscience (57 citations), Oncology (314 citations), Cellular and Molecular Neuroscience (225 citations) and Cancer Research (123 citations). Edward J. Smith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John M. Carethers, Ryan T. Doctolero, Betty L. Cabrera, Katsumi Miyai, Akihiro Tajima, Michel Modo, William R. Crum, Cynthia Behling, Peter Weiner and C. Richard Boland. Their work appears in journals such as PLoS ONE, Brain Communications, Brain, Gastroenterology and Journal of Clinical Oncology.

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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