Susan M. Mockus

68 total papers · 1.7k total citations
29 papers, 954 citations indexed

About

Susan M. Mockus is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Susan M. Mockus has authored 29 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Susan M. Mockus's work include Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (7 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Susan M. Mockus is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Lung Cancer Treatments and Mutations (7 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Susan M. Mockus collaborates with scholars based in United States, United Kingdom and South Korea. Susan M. Mockus's co-authors include Kent E. Vrana, Sara E. Patterson, Christian Murphy, Cynthia Saraceni-Richards, Allan Peter Davis, T.A. Wiegers, Carolyn Mattingly, Michael T. Rosenstein, Benjamin L. King and Joan Malcolm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Analytical Chemistry.

In The Last Decade

Susan M. Mockus

29 papers receiving 934 citations

Author Peers

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

Author						Papers	Cites
Susan M. Mockus	526	246	208	178	128	29	954
Yong Jae Shin	596 1.1×	202 0.8×	89 0.4×	215 1.2×	99 0.8×	31	1.1k
Leda Biordi	454 0.9×	148 0.6×	263 1.3×	320 1.8×	125 1.0×	42	1.2k
Patricia Santofimia‐Castaño	747 1.4×	179 0.7×	176 0.8×	182 1.0×	89 0.7×	53	1.2k
Iain Uings	482 0.9×	85 0.3×	140 0.7×	145 0.8×	77 0.6×	41	1.2k
Na Sang	522 1.0×	270 1.1×	116 0.6×	136 0.8×	53 0.4×	26	926
Samarpan Majumder	728 1.4×	155 0.6×	222 1.1×	206 1.2×	158 1.2×	24	1.1k
Haineng Xu	558 1.1×	218 0.9×	87 0.4×	343 1.9×	37 0.3×	30	1.1k
Roland Neuhaus	729 1.4×	264 1.1×	69 0.3×	190 1.1×	193 1.5×	35	1.1k
Judit Dobos	443 0.8×	155 0.6×	97 0.5×	378 2.1×	83 0.6×	33	989
Puranik Purushottamachar	665 1.3×	137 0.6×	283 1.4×	144 0.8×	26 0.2×	45	1.0k

Countries citing papers authored by Susan M. Mockus

Since Specialization

Citations

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

Fields of papers citing papers by Susan M. Mockus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan M. Mockus

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Mockus. A scholar is included among the top collaborators of Susan M. Mockus 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 Susan M. Mockus. Susan M. Mockus 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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