Alexandra M. Parma

22 total papers · 1.3k total citations
16 papers, 1.1k citations indexed

About

Alexandra M. Parma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Alexandra M. Parma has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Alexandra M. Parma's work include S100 Proteins and Annexins (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Adenosine and Purinergic Signaling (4 papers). Alexandra M. Parma is often cited by papers focused on S100 Proteins and Annexins (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Adenosine and Purinergic Signaling (4 papers). Alexandra M. Parma collaborates with scholars based in United States, Czechia and Argentina. Alexandra M. Parma's co-authors include Paul J. Marangos, Frederick K. Goodwin, Donald E. Schmechel, Jitendra Patel, Robert M. Post, D. E. Schmechel, Steven M. Paul, Peter J. Syapin, Phil Skolnick and P. J. Marangos and has published in prestigious journals such as Brain Research, Journal of Neurochemistry and Biochemical Pharmacology.

In The Last Decade

Alexandra M. Parma

16 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alexandra M. Parma 578 434 212 132 120 16 1.1k
Fernando Pérez‐Cerdá 393 0.7× 493 1.1× 141 0.7× 102 0.8× 238 2.0× 21 1.4k
Phillip M. Rappold 465 0.8× 397 0.9× 321 1.5× 47 0.4× 80 0.7× 18 1.1k
Peter Gebicke-Härter 529 0.9× 398 0.9× 88 0.4× 90 0.7× 81 0.7× 19 1.3k
E. Dux 610 1.1× 457 1.1× 99 0.5× 51 0.4× 103 0.9× 39 1.2k
William S. Mailliard 628 1.1× 444 1.0× 78 0.4× 36 0.3× 146 1.2× 13 1.0k
Zsuzsanna Környei 385 0.7× 299 0.7× 95 0.4× 51 0.4× 63 0.5× 29 1.5k
Oleg Aizman 935 1.6× 395 0.9× 110 0.5× 50 0.4× 41 0.3× 15 1.4k
Louis Scheurer 596 1.0× 853 2.0× 83 0.4× 192 1.5× 272 2.3× 22 1.3k
Cecilie Morland 556 1.0× 423 1.0× 94 0.4× 52 0.4× 59 0.5× 30 1.2k
Sufen Yang 438 0.8× 312 0.7× 83 0.4× 102 0.8× 32 0.3× 21 970

Countries citing papers authored by Alexandra M. Parma

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra M. Parma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra M. Parma

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra M. Parma. A scholar is included among the top collaborators of Alexandra M. Parma 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 Alexandra M. Parma. Alexandra M. Parma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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