Sarah Neidler

17 total papers · 560 total citations
3 papers, 268 citations indexed

About

Sarah Neidler is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Sarah Neidler has authored 3 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Cell Biology. Recurrent topics in Sarah Neidler's work include RNA modifications and cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Sarah Neidler is often cited by papers focused on RNA modifications and cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Sarah Neidler collaborates with scholars based in United Kingdom, United States and Taiwan. Sarah Neidler's co-authors include Daniel J. Murphy, Ji‐An Pan, Geoffrey D. Girnun, Alex J. Bott, Yu Sun, Nadia Jaber, Maria Hatzoglou, Yongjun Fan, Dawid Krokowski and Song Wu and has published in prestigious journals such as Cell Metabolism, Science Translational Medicine and Cancers.

In The Last Decade

Sarah Neidler

3 papers receiving 268 citations

Author Peers

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

Author Last Decade Papers Cites
Sarah Neidler 199 150 59 39 36 3 268
Juan de los Santos-Jiménez 189 0.9× 167 1.1× 28 0.5× 27 0.7× 34 0.9× 7 295
Peter J. Mullen 227 1.1× 87 0.6× 37 0.6× 17 0.4× 20 0.6× 4 288
Dana M. Gwinn 160 0.8× 88 0.6× 43 0.7× 21 0.5× 19 0.5× 3 208
Caroline R. Amendola 214 1.1× 132 0.9× 111 1.9× 17 0.4× 22 0.6× 6 316
Lourdes Sainero‐Alcolado 211 1.1× 173 1.2× 30 0.5× 20 0.5× 35 1.0× 7 326
Alona Sarver 219 1.1× 166 1.1× 20 0.3× 40 1.0× 29 0.8× 2 303
Amaia Arruabarrena-Aristorena 206 1.0× 71 0.5× 34 0.6× 26 0.7× 26 0.7× 7 271
Shiran Rabinovich 210 1.1× 170 1.1× 24 0.4× 44 1.1× 28 0.8× 3 299
Jaebon Lee 166 0.8× 157 1.0× 61 1.0× 22 0.6× 74 2.1× 8 295
Hsi-Wen Yeh 217 1.1× 92 0.6× 57 1.0× 27 0.7× 53 1.5× 7 322

Countries citing papers authored by Sarah Neidler

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Neidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Neidler

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