Stephanie Schwalm

47 total papers · 1.1k total citations
41 papers, 929 citations indexed

About

Stephanie Schwalm is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Stephanie Schwalm has authored 41 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Cell Biology and 7 papers in Epidemiology. Recurrent topics in Stephanie Schwalm's work include Sphingolipid Metabolism and Signaling (31 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Stephanie Schwalm is often cited by papers focused on Sphingolipid Metabolism and Signaling (31 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Stephanie Schwalm collaborates with scholars based in Germany, Switzerland and United States. Stephanie Schwalm's co-authors include Josef Pfeilschifter, Andrea Huwiler, Uwe Zangemeister‐Wittke, Dagmar Meyer zu Heringdorf, Kirk T. Spencer, Georgios Grammatikos, R. Parker Ward, Burkhard Kleuser, Liliana Schaefer and Doriano Fabbro and has published in prestigious journals such as Hepatology, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Stephanie Schwalm

39 papers receiving 910 citations

Author Peers

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

Author						Papers	Cites
Stephanie Schwalm	683	215	134	129	109	41	929
Yan Meng	577 0.8×	201 0.9×	115 0.9×	213 1.7×	104 1.0×	41	1.2k
Soo Youn Choi	427 0.6×	227 1.1×	104 0.8×	170 1.3×	138 1.3×	34	868
Jiongyu Hu	386 0.6×	145 0.7×	122 0.9×	110 0.9×	69 0.6×	43	920
Micah L. Burch	683 1.0×	172 0.8×	165 1.2×	159 1.2×	188 1.7×	28	1.2k
Jiao Mu	519 0.8×	164 0.8×	155 1.2×	60 0.5×	111 1.0×	37	925
Eunsil Hahm	371 0.5×	168 0.8×	74 0.6×	200 1.6×	101 0.9×	31	1.0k
Lin Sun	725 1.1×	186 0.9×	115 0.9×	72 0.6×	66 0.6×	49	1.2k
Shinichiro J. Tojo	568 0.8×	93 0.4×	87 0.6×	261 2.0×	63 0.6×	40	1.1k
J Dämmrich	448 0.7×	194 0.9×	177 1.3×	113 0.9×	56 0.5×	52	1.0k
Yin Wang	822 1.2×	71 0.3×	91 0.7×	78 0.6×	116 1.1×	46	1.2k

Countries citing papers authored by Stephanie Schwalm

Since Specialization

Citations

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

Fields of papers citing papers by Stephanie Schwalm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Schwalm

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