Timothy Goodman

1.2k citations
18 papers · 946 · h-index 15

Impact in

Papers in

Timothy Goodman

18 papers receiving 939 citations

Peers

Timothy Goodman
Comparison fields: 5 of 83
  • Developmental Neuroscience 273
  • Endocrine and Autonomic Systems 225
  • Internal Medicine 37
  • Behavioral Neuroscience 39
  • Neurology 87
Replace Hiroyuki Katagiri with:
Hiroyuki Katagiri Japan
David E. Garcı́a Mexico
Duyu Nie United States
Lakshmi Thirumangalakudi United States
М. В. Глазова Russia
Xuegang Luo China
Chun Xiao China
Bruno Blanchi United States
F. Javier Díez‐Guerra Spain
Géraldine Gontier United States
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Citations per field
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Citations per year

Countries citing papers authored by Timothy Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy Goodman. 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 Timothy Goodman. The network helps show where Timothy Goodman may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013188
2 2008145
3 2015109
4 2010104
5 200961
6 201158
7 201256
8 200745
9 201534
10 201131
11 202024
12 201920
13 201419
14 201916
15 201615
16 202213
17 20175
18 20203

About Timothy Goodman

Timothy Goodman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Endocrine and Autonomic Systems and Genetics, having authored 18 papers that have together received 946 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Retinoids in leukemia and cellular processes (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Fibroblast Growth Factor Research (3 papers), Epigenetics and DNA Methylation (3 papers), Regulation of Appetite and Obesity (3 papers), Axon Guidance and Neuronal Signaling (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Developmental Neuroscience (273 citations), Endocrine and Autonomic Systems (225 citations), Internal Medicine (37 citations), Behavioral Neuroscience (39 citations) and Neurology (87 citations). Timothy Goodman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mohammad K. Hajihosseini, Albert Ferro, Pankaj Sharma, Peter McCaffery, Savério Bellusci, Alexander Ross, Ritva Rice, Kirsty Shearer, Niels Haan and Elie El Agha. Their work appears in journals such as Journal of Neurochemistry, British Journal of Clinical Pharmacology, Neuroscience, Journal of Neuroendocrinology and Journal of Neuroscience.

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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