Lora C. Robosky

14 total papers · 503 total citations
11 papers, 390 citations indexed

About

Lora C. Robosky is a scholar working on Molecular Biology, Spectroscopy and Pathology and Forensic Medicine. According to data from OpenAlex, Lora C. Robosky has authored 11 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Lora C. Robosky's work include NMR spectroscopy and applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Phytoestrogen effects and research (2 papers). Lora C. Robosky is often cited by papers focused on NMR spectroscopy and applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Phytoestrogen effects and research (2 papers). Lora C. Robosky collaborates with scholars based in United States. Lora C. Robosky's co-authors include Michael D. Reily, Charles D. Eads, Donald G. Robertson, John D. Baker, Laura A. Egnash, Daina Avizonis, Douglas A. Gage, Mudher Albassam, R. Thomas Winters and Rabih Slim and has published in prestigious journals such as Journal of the American Chemical Society, Langmuir and Journal of Lipid Research.

In The Last Decade

Lora C. Robosky

11 papers receiving 379 citations

Author Peers

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

Author						Papers	Cites
Lora C. Robosky	215	76	69	52	47	11	390
Shin‐ichi Fujiwara	236 1.1×	41 0.5×	78 1.1×	57 1.1×	25 0.5×	18	400
Adrian Frentzel	126 0.6×	100 1.3×	22 0.3×	44 0.8×	13 0.3×	13	359
A.A. Sinkula	132 0.6×	155 2.0×	88 1.3×	90 1.7×	6 0.1×	9	437
Noel M. Meltzer	156 0.7×	19 0.3×	48 0.7×	92 1.8×	75 1.6×	16	378
M. N. Azmin	122 0.6×	48 0.6×	14 0.2×	233 4.5×	41 0.9×	11	422
Gary C. Visor	133 0.6×	39 0.5×	67 1.0×	74 1.4×	6 0.1×	27	365
Kendall D. Powell	213 1.0×	14 0.2×	164 2.4×	16 0.3×	15 0.3×	13	434
Cornelia Ottiger	125 0.6×	25 0.3×	68 1.0×	22 0.4×	3 0.1×	17	383
Denis Langlais	260 1.2×	17 0.2×	290 4.2×	32 0.6×	21 0.4×	9	388
Daniela Lopes	203 0.9×	62 0.8×	26 0.4×	61 1.2×	4 0.1×	16	442

Countries citing papers authored by Lora C. Robosky

Since Specialization

Citations

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

Fields of papers citing papers by Lora C. Robosky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lora C. Robosky. 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 Lora C. Robosky. The network helps show where Lora C. Robosky may publish in the future.

Co-authorship network of co-authors of Lora C. Robosky

This figure shows the co-authorship network connecting the top 25 collaborators of Lora C. Robosky. A scholar is included among the top collaborators of Lora C. Robosky 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 Lora C. Robosky. Lora C. Robosky 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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