Tamara Markovic

774 citations
16 papers · 418 · h-index 8

Impact in

Papers in

Tamara Markovic

15 papers receiving 418 citations

Peers

Tamara Markovic
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 208
  • Behavioral Neuroscience 36
  • Physiology 151
  • Biological Psychiatry 14
  • Cognitive Neuroscience 90
Replace Yu Mao with:
Yu Mao China
Wenjuan Tao China
Yohann Bohren France
Geehoon Chung South Korea
Eagle Yi‐Kung Huang Taiwan
Cristina Alba‐Delgado Spain
Wenjie Zhou China
Hye Jean Yoon United States
Nana Hareyama Japan
Louise Urien United States
Tamara Markovic relative to Yu Mao China Yu Mao's profile →
Citations per field
00.5×10×
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Citations per year

Countries citing papers authored by Tamara Markovic

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Markovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019155
2 202176
3 201447
4 202247
5 201434
6 202421
7 202512
8 20217
9 20147
10 20233
11 20243
12 20242
13 20142
14 20251
15 20191
16 20250

About Tamara Markovic

Tamara Markovic is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Surgery and Cognitive Neuroscience, having authored 16 papers that have together received 418 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (4 papers), Pain Mechanisms and Treatments (4 papers), Biochemical effects in animals (3 papers), RNA Interference and Gene Delivery (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Neurological disorders and treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (208 citations), Behavioral Neuroscience (36 citations), Physiology (151 citations), Biological Psychiatry (14 citations) and Cognitive Neuroscience (90 citations). Tamara Markovic has collaborated with scholars based in United States, Spain and Saudi Arabia. Frequent co-authors include José A. Morón, Nicolas Massaly, Stewart D. Clark, Duncan A. A. MacLaren, Michael R. Bruchas, Hye Jean Yoon, Catherine M. Cahill, Ream Al‐Hasani, Kooresh I. Shoghi and Marie C. Walicki. Their work appears in journals such as Biological Psychiatry, European Journal of Neuroscience, Nature Biotechnology, International review of neurobiology and Advanced Materials.

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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