Sina Oppermann

29 total papers · 686 total citations
10 papers, 459 citations indexed

About

Sina Oppermann is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Sina Oppermann has authored 10 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Neurology. Recurrent topics in Sina Oppermann's work include Cell death mechanisms and regulation (3 papers), Mitochondrial Function and Pathology (2 papers) and ATP Synthase and ATPases Research (2 papers). Sina Oppermann is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Mitochondrial Function and Pathology (2 papers) and ATP Synthase and ATPases Research (2 papers). Sina Oppermann collaborates with scholars based in Germany, Canada and United States. Sina Oppermann's co-authors include Carsten Culmsee, Amalia M. Dolga, Sandra Neitemeier, Goutham K. Ganjam, Lena Hoffmann, Anja Jelinek, David W. Andrews, Brian Leber, David Spaner and Yonghong Shi and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.

In The Last Decade

Sina Oppermann

9 papers receiving 457 citations

Author Peers

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

Author						Papers	Cites
Sina Oppermann	271	212	143	71	49	10	459
Anuradha Waghray	234 0.9×	191 0.9×	123 0.9×	47 0.7×	97 2.0×	10	492
Tasnuva D. Kabir	290 1.1×	115 0.5×	232 1.6×	24 0.3×	72 1.5×	11	539
Katelyn Powell	167 0.6×	154 0.7×	123 0.9×	27 0.4×	117 2.4×	9	434
Bincy Paul	247 0.9×	206 1.0×	179 1.3×	21 0.3×	70 1.4×	9	455
Poay N. Lim	172 0.6×	146 0.7×	44 0.3×	29 0.4×	56 1.1×	9	501
Sofia Winslow	313 1.2×	108 0.5×	186 1.3×	28 0.4×	103 2.1×	14	525
Nita Fisher	236 0.9×	68 0.3×	155 1.1×	50 0.7×	178 3.6×	9	517
Giuseppina Fusco	151 0.6×	185 0.9×	124 0.9×	37 0.5×	177 3.6×	10	433
Richard Kurupi	285 1.1×	112 0.5×	148 1.0×	34 0.5×	143 2.9×	9	427
Ashley Amaral	285 1.1×	78 0.4×	110 0.8×	30 0.4×	35 0.7×	10	412

Countries citing papers authored by Sina Oppermann

Since Specialization

Citations

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

Fields of papers citing papers by Sina Oppermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Oppermann

This figure shows the co-authorship network connecting the top 25 collaborators of Sina Oppermann. A scholar is included among the top collaborators of Sina Oppermann 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 Sina Oppermann. Sina Oppermann 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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