Mary Kania

13 total papers · 811 total citations
8 papers, 702 citations indexed

About

Mary Kania is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Mary Kania has authored 8 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Oncology. Recurrent topics in Mary Kania's work include Ubiquitin and proteasome pathways (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Mary Kania is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Mary Kania collaborates with scholars based in United States, Germany and Switzerland. Mary Kania's co-authors include J. Peter Gergen, Wolfgang Baumeister, Dieter Typke, Jochen Walz, Abraham J. Koster, Joseph R. Shaeffer, Erika Seemüller, George Demartino, Alfred L. Goldberg and Zdenka Cejka and has published in prestigious journals such as Genes & Development, The Journal of Immunology and Development.

In The Last Decade

Mary Kania

8 papers receiving 691 citations

Author Peers

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

Author						Papers	Cites
Mary Kania	622	153	150	87	85	8	702
Normand Groulx	631 1.0×	89 0.6×	215 1.4×	72 0.8×	61 0.7×	8	901
Antonio Marzio	615 1.0×	243 1.6×	126 0.8×	46 0.5×	59 0.7×	13	770
W. Ansorge	655 1.1×	256 1.7×	163 1.1×	71 0.8×	32 0.4×	12	873
Char‐Chang Lai	565 0.9×	122 0.8×	106 0.7×	170 2.0×	33 0.4×	14	823
Alexandros Strikoudis	584 0.9×	182 1.2×	81 0.5×	86 1.0×	70 0.8×	13	880
C. Onnekink	294 0.5×	95 0.6×	130 0.9×	107 1.2×	45 0.5×	11	699
Joachim Krieg	536 0.9×	81 0.5×	137 0.9×	80 0.9×	30 0.4×	9	669
Vinay Bhaskar	458 0.7×	213 1.4×	94 0.6×	134 1.5×	81 1.0×	14	816
Carl T. Rollins	618 1.0×	170 1.1×	161 1.1×	110 1.3×	27 0.3×	7	799
Melanie A. McGill	555 0.9×	86 0.6×	218 1.5×	86 1.0×	23 0.3×	8	837

Countries citing papers authored by Mary Kania

Since Specialization

Citations

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

Fields of papers citing papers by Mary Kania

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Kania

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