M.T. Rogan

70 papers receiving 4.1k citations

M.T. Rogan's Hit Papers

Fear conditioning induces associative long-term potentiation in the amygdala 1997 · 996 citations
9960+9+19Years since publication250500750

Peers

M.T. Rogan
Comparison fields: 5 of 116
  • Parasitology 1.1k
  • Behavioral Neuroscience 541
  • Pathology and Forensic Medicine 1.6k
  • Cognitive Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 1.2k
Replace Kathleen A. Grant with:
Kathleen A. Grant United States
Christine Winter Germany
Elena Choleris Canada
Lance J. Kriegsfeld United States
Kenneth B. Platt United States
Joseph P. Garner United States
Gail Davies United Kingdom
Alino Martı́nez-Marcos Spain
Ajai Vyas Singapore
Brandon L. Pearson United States
M.T. Rogan relative to Kathleen A. Grant United States Kathleen A. Grant's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.T. Rogan

Since Specialization
Citations

This map shows the geographic impact of M.T. Rogan'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 M.T. Rogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Rogan more than expected).

Fields of papers citing papers by M.T. Rogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.T. Rogan. 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 M.T. Rogan. The network helps show where M.T. Rogan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fear conditioning induces associative long-term potentiation in the amygdala
Hit paper breakdown →
1997996
2 2004499
3 1995218
4 1992179
5 2005178
6 1996176
7 1996146
8 2007117
9 2003112
10 1999108
11 199176
12 199872
13 199761
14 200160
15 200657
16 199856
17 199755
18 201354
19 201047
20 201139

About M.T. Rogan

M.T. Rogan is a scholar working on Pathology and Forensic Medicine, Parasitology, Surgery, Ecology and Small Animals, having authored 73 papers that have together received 4.2k indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (45 papers), Parasitic Infections and Diagnostics (29 papers), Congenital Anomalies and Fetal Surgery (27 papers), Parasite Biology and Host Interactions (13 papers), Toxoplasma gondii Research Studies (9 papers), Helminth infection and control (8 papers), Animal Ecology and Behavior Studies (7 papers) and Memory and Neural Mechanisms (6 papers). The work is most often cited by research in Parasitology (1.1k citations), Behavioral Neuroscience (541 citations), Pathology and Forensic Medicine (1.6k citations), Cognitive Neuroscience (1.5k citations) and Cellular and Molecular Neuroscience (1.2k citations). M.T. Rogan has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Joseph E. LeDoux, Ursula Stäubli, Philip S. Craig, Eric R. Kandel, J. C. Allan, Joy Hirsch, Kristen C. Klemenhagen, Joshua T. Dudman, René Hen and Amit Etkin. Their work appears in journals such as Parasitology, Journal of Helminthology, Parasite Immunology, Acta Tropica and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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