Henry M. Laboda

10 total papers · 444 total citations
7 papers, 395 citations indexed

About

Henry M. Laboda is a scholar working on Surgery, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Henry M. Laboda has authored 7 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Nutrition and Dietetics. Recurrent topics in Henry M. Laboda's work include Lipid metabolism and biosynthesis (2 papers), Cholesterol and Lipid Metabolism (1 paper) and Analytical chemistry methods development (1 paper). Henry M. Laboda is often cited by papers focused on Lipid metabolism and biosynthesis (2 papers), Cholesterol and Lipid Metabolism (1 paper) and Analytical chemistry methods development (1 paper). Henry M. Laboda collaborates with scholars based in United States. Henry M. Laboda's co-authors include Michael C. Phillips, Sissel Lund‐Katz, Larry R. McLean, Jane M. Glick, R E Vanderlinde, Elizabeth A. Laposata, Jerome F. Strauss and Mark E. Costlow and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Clinical Chemistry.

In The Last Decade

Henry M. Laboda

7 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Henry M. Laboda 206 107 69 62 48 7 395
Milton H. Lipsky 111 0.5× 68 0.6× 32 0.5× 20 0.3× 28 0.6× 12 359
Grace M. Fimognari 217 1.1× 50 0.5× 28 0.4× 99 1.6× 28 0.6× 8 434
Derek Y.C. Yuen 163 0.8× 64 0.6× 30 0.4× 53 0.9× 15 0.3× 7 411
J A Reynolds 285 1.4× 70 0.7× 39 0.6× 119 1.9× 25 0.5× 8 430
Patricia Christian 127 0.6× 51 0.5× 39 0.6× 56 0.9× 58 1.2× 10 335
Sara N. Vallerie 157 0.8× 73 0.7× 19 0.3× 64 1.0× 35 0.7× 9 388
Ke Gong 161 0.8× 94 0.9× 17 0.2× 45 0.7× 20 0.4× 12 415
Graciela Argüello 107 0.5× 60 0.6× 23 0.3× 81 1.3× 45 0.9× 8 433
Xiaoyu Zhang 154 0.7× 47 0.4× 19 0.3× 30 0.5× 14 0.3× 7 411
Eunhye La 249 1.2× 51 0.5× 50 0.7× 22 0.4× 15 0.3× 10 439

Countries citing papers authored by Henry M. Laboda

Since Specialization
Citations

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

Fields of papers citing papers by Henry M. Laboda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry M. Laboda

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