Susan G. Lund

11 total papers · 601 total citations
10 papers, 511 citations indexed

About

Susan G. Lund is a scholar working on Molecular Biology, Ecology and Physical and Theoretical Chemistry. According to data from OpenAlex, Susan G. Lund has authored 10 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Ecology and 4 papers in Physical and Theoretical Chemistry. Recurrent topics in Susan G. Lund's work include Physiological and biochemical adaptations (9 papers), Heat shock proteins research (7 papers) and thermodynamics and calorimetric analyses (4 papers). Susan G. Lund is often cited by papers focused on Physiological and biochemical adaptations (9 papers), Heat shock proteins research (7 papers) and thermodynamics and calorimetric analyses (4 papers). Susan G. Lund collaborates with scholars based in Canada and United States. Susan G. Lund's co-authors include Bruce L. Tufts, Gretchen E. Hofmann, Andrew J. Esbaugh, Richard A. Cunjak, Mathilakath M. Vijayan, Daniel Caissie, Christopher D. Moyes, Shaun S. Killen, Cory D. Suski and Michael B. Morrissey and has published in prestigious journals such as Journal of Experimental Biology, Canadian Journal of Fisheries and Aquatic Sciences and Journal of Experimental Marine Biology and Ecology.

In The Last Decade

Susan G. Lund

10 papers receiving 493 citations

Author Peers

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

Author						Papers	Cites
Susan G. Lund	358	172	171	146	71	10	511
M. Stephen Haswell	379 1.1×	74 0.4×	164 1.0×	153 1.0×	51 0.7×	17	453
R. S. Seymour	287 0.8×	83 0.5×	203 1.2×	125 0.9×	34 0.5×	17	558
T. Georgalis	370 1.0×	95 0.6×	112 0.7×	251 1.7×	56 0.8×	8	481
Federico García Romeu	406 1.1×	91 0.5×	176 1.0×	268 1.8×	40 0.6×	7	540
Sian-Tai Liu	326 0.9×	65 0.4×	130 0.8×	232 1.6×	70 1.0×	11	469
R. Stephen Munger	288 0.8×	34 0.2×	109 0.6×	200 1.4×	67 0.9×	11	556
Agnieszka K. Dymowska	449 1.3×	61 0.4×	213 1.2×	246 1.7×	90 1.3×	10	578
Gregg A. Kormanik	475 1.3×	43 0.3×	223 1.3×	300 2.1×	57 0.8×	18	616
P. L. M. van Dijk	437 1.2×	49 0.3×	182 1.1×	248 1.7×	68 1.0×	13	578
Theodore H. Kerstetter	356 1.0×	59 0.3×	204 1.2×	365 2.5×	126 1.8×	20	595

Countries citing papers authored by Susan G. Lund

Since Specialization

Citations

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

Fields of papers citing papers by Susan G. Lund

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan G. Lund

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