James E. Goldman

22.5k citations
221 papers · 16.5k indexed · 5 hit papers · h-index 71

James E. Goldman

217 papers receiving 16.2k citations

Hit Papers

Non-cell-a...1681998202620072016250500750

Peers

James E. Goldman
Comparison fields: 5 of 165
  • Developmental Neuroscience 4.2k
  • Neurology 3.3k
  • Cellular and Molecular Neuroscience 3.6k
  • Neurology 1.7k
  • Genetics 1.2k
Replace Kunlin Jin with:
Kunlin Jin United States
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James E. Goldman relative to Kunlin Jin United States Kunlin Jin's profile →
Citations per field
00.5×1.5×
Kunlin Jin · 1×
Citations per year

Countries citing papers authored by James E. Goldman

Since Specialization
Citations

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

Fields of papers citing papers by James E. Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20241
3 20242
4 20245
5 20232
6 20218
7 20189
8 201533
9 201513
10 201430
11
Loss of mTOR-Dependent Macroautophagy Causes Autistic-like Synaptic Pruning Deficitsbreakdown →
2014827
12
Malware analysis & reverse engineering quick evaluation system
20111
13
Integration of COBIT, balanced scorecard & SSE-CMM as a strategic information security management (ISM) framework
20093
14 200922
15 200924
16 2004174
17 2002101
18 200273
19 1997457
20 198897

About James E. Goldman

James E. Goldman is a scholar working on Developmental Neuroscience, Neurology and Genetics, having authored 221 papers that have together received 16.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (58 papers), RNA Research and Splicing (42 papers), Neuroinflammation and Neurodegeneration Mechanisms (33 papers), RNA regulation and disease (33 papers), Glioma Diagnosis and Treatment (20 papers), MicroRNA in disease regulation (16 papers), interferon and immune responses (12 papers) and Alzheimer's disease research and treatments (12 papers). The work is most often cited by research in Developmental Neuroscience (4.2k citations), Neurology (3.3k citations) and Cellular and Molecular Neuroscience (3.6k citations). James E. Goldman has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Fung‐Chow Chiu, Albee Messing, Michael Brenner, Peter Canoll, Steven W. Levison, Beth Levine, A. Kume-Iwaki, Alexander A. Sosunov, Christine Peterson and Satoshi Suzuki. Their work appears in journals such as Journal of Neuroscience, Journal of Neuropathology & Experimental Neurology, Acta Neuropathologica Communications, Acta Neuropathologica and Glia.

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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