Lawrence D. Grouse

95 total papers · 934 total citations
48 papers, 402 citations indexed

About

Lawrence D. Grouse is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and General Health Professions. According to data from OpenAlex, Lawrence D. Grouse has authored 48 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in General Health Professions. Recurrent topics in Lawrence D. Grouse's work include RNA Research and Splicing (6 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers) and Pharmaceutical industry and healthcare (4 papers). Lawrence D. Grouse is often cited by papers focused on RNA Research and Splicing (6 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers) and Pharmaceutical industry and healthcare (4 papers). Lawrence D. Grouse collaborates with scholars based in United States, China and Cameroon. Lawrence D. Grouse's co-authors include Bruce K. Schrier, Phillip G. Nelson, Edward L. Bennett, Mark R. Rosenzweig, Dmitry Nonikov, Klaus F. Rabe, Stephen I. Rennard, Nanshan Zhong, Yoshinosuke Fukuchi and B.K. Schrier and has published in prestigious journals such as JAMA, Journal of Biological Chemistry and Analytical Biochemistry.

In The Last Decade

Lawrence D. Grouse

44 papers receiving 360 citations

Author Peers

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

Author						Papers	Cites
Lawrence D. Grouse	156	97	62	49	27	48	402
Nerys Roberts	75 0.5×	44 0.5×	132 2.1×	74 1.5×	35 1.3×	60	427
J Spencer	84 0.5×	93 1.0×	48 0.8×	49 1.0×	35 1.3×	31	434
Hyunjung Kim	69 0.4×	39 0.4×	34 0.5×	38 0.8×	26 1.0×	39	434
Shing Yan Chiu	94 0.6×	30 0.3×	49 0.8×	17 0.3×	19 0.7×	22	370
Yujin Kim	108 0.7×	191 2.0×	48 0.8×	18 0.4×	13 0.5×	29	437
D. H. Kaump	79 0.5×	59 0.6×	24 0.4×	27 0.6×	25 0.9×	21	411
Tingting Sun	114 0.7×	59 0.6×	61 1.0×	33 0.7×	25 0.9×	39	369
Michal Kraus	131 0.8×	28 0.3×	51 0.8×	22 0.4×	23 0.9×	37	367
Kyi Kyi Tha	124 0.8×	39 0.4×	45 0.7×	10 0.2×	42 1.6×	23	357
Abdulmajeed AlDrees	137 0.9×	45 0.5×	55 0.9×	16 0.3×	9 0.3×	20	363

Countries citing papers authored by Lawrence D. Grouse

Since Specialization

Citations

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

Fields of papers citing papers by Lawrence D. Grouse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence D. Grouse. 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 Lawrence D. Grouse. The network helps show where Lawrence D. Grouse may publish in the future.

Co-authorship network of co-authors of Lawrence D. Grouse

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence D. Grouse. A scholar is included among the top collaborators of Lawrence D. Grouse 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 Lawrence D. Grouse. Lawrence D. Grouse 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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