Srdjan Maksimovic

832 total citations · 1 hit paper
7 papers, 596 citations indexed

About

Srdjan Maksimovic is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Srdjan Maksimovic has authored 7 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Plant Science. Recurrent topics in Srdjan Maksimovic's work include Neurobiology and Insect Physiology Research (3 papers), Plant and Biological Electrophysiology Studies (2 papers) and Ion channel regulation and function (2 papers). Srdjan Maksimovic is often cited by papers focused on Neurobiology and Insect Physiology Research (3 papers), Plant and Biological Electrophysiology Studies (2 papers) and Ion channel regulation and function (2 papers). Srdjan Maksimovic collaborates with scholars based in United States. Srdjan Maksimovic's co-authors include Yoshichika Baba, Ellen A. Lumpkin, Masashi Nakatani, Kara L. Marshall, Ardem Patapoutian, Sanjeev S. Ranade, Aislyn M. Nelson, Scott A. Wellnitz, P.F. Firozi and Elke K. Buschbeck and has published in prestigious journals such as Nature, Annals of the New York Academy of Sciences and Journal of Experimental Biology.

In The Last Decade

Srdjan Maksimovic

7 papers receiving 593 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Epidermal Merkel cells are mechanosensory cells that tune mammalian touch receptors

2014 405 citations Srdjan Maksimovic, Masashi Nakatani et al. Nature profile →

Peers

Srdjan Maksimovic

MB

PHYSI

CMN

SS

CN

Scott A. Wellnitz United States

Aislyn M. Nelson United States

James Mainquist United States

Namita Ravi United States

Marc Koch France

Yolanda García‐Mesa Spain

Daine R. Lesniak United States

Aparna Prasad United States

Catalin Dacian Ciubotaru Italy

Luís Sánchez-Guardado Spain

Scott A. Wellnitz United States

Srdjan Maksimovic

295 ×1.2

MB

261 ×1.1

PHYSI

190 ×1.3

CMN

115 ×1.4

SS

181 ×2.4

CN

Citations per year, relative to Srdjan Maksimovic Srdjan Maksimovic (= 1×) peers Scott A. Wellnitz

Countries citing papers authored by Srdjan Maksimovic

Since Specialization

Citations

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

Fields of papers citing papers by Srdjan Maksimovic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srdjan Maksimovic

This figure shows the co-authorship network connecting the top 25 collaborators of Srdjan Maksimovic. A scholar is included among the top collaborators of Srdjan Maksimovic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Srdjan Maksimovic. Srdjan Maksimovic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Bhardwaj, Vinay, et al.. (2021). Professional-Grade TCA-Lactic Acid Chemical Peel: Elucidating Mode of Action to Treat Photoaging and Hyperpigmentation. Frontiers in Medicine. 8. 617068–617068. 16 indexed citations

2.

Maksimovic, Srdjan, Masashi Nakatani, Yoshichika Baba, et al.. (2014). Epidermal Merkel cells are mechanosensory cells that tune mammalian touch receptors. Nature. 509(7502). 617–621. 405 indexed citations breakdown →

3.

Nakatani, Masashi, Srdjan Maksimovic, Yoshichika Baba, & Ellen A. Lumpkin. (2014). Mechanotransduction in epidermal Merkel cells. Pflügers Archiv - European Journal of Physiology. 467(1). 101–108. 43 indexed citations

4.

Maksimovic, Srdjan, Yoshichika Baba, & Ellen A. Lumpkin. (2013). Neurotransmitters and synaptic components in the Merkel cell–neurite complex, a gentle‐touch receptor. Annals of the New York Academy of Sciences. 1279(1). 13–21. 74 indexed citations

5.

Maksimovic, Srdjan, John E. Layne, & Elke K. Buschbeck. (2011). Spectral sensitivity of the principal eyes of sunburst diving beetle, Thermonectus marmoratus (Coleoptera: Dytiscidae), larvae. Journal of Experimental Biology. 214(21). 3524–3531. 18 indexed citations

6.

Maksimovic, Srdjan, Tiffany Cook, & Elke K. Buschbeck. (2009). Spatial distribution of opsin-encoding mRNAs in the tiered larval retinas of the sunburst diving beetle Thermonectus marmoratus (Coleoptera: Dytiscidae). Journal of Experimental Biology. 212(23). 3781–3794. 23 indexed citations

7.

Maksimovic, Srdjan, John E. Layne, & Elke K. Buschbeck. (2007). Behavioral evidence for within-eyelet resolution in twisted-winged insects (Strepsiptera). Journal of Experimental Biology. 210(16). 2819–2828. 17 indexed citations

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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