H. Heckers

79 total papers · 637 total citations
36 papers, 421 citations indexed

About

H. Heckers is a scholar working on Nutrition and Dietetics, Molecular Biology and Surgery. According to data from OpenAlex, H. Heckers has authored 36 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nutrition and Dietetics, 8 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in H. Heckers's work include Fatty Acid Research and Health (6 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Analytical Chemistry and Chromatography (5 papers). H. Heckers is often cited by papers focused on Fatty Acid Research and Health (6 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Analytical Chemistry and Chromatography (5 papers). H. Heckers collaborates with scholars based in Germany, Kyrgyzstan and Netherlands. H. Heckers's co-authors include Kurt E.J. Dittmar, Thomas Eckhardt, D. Platt, Michael Körner, Hans‐Otto Kalinowski, D. Hegner, F. W. Schmahl, Gerd Assmann, Gerd Schmitz and K Huth and has published in prestigious journals such as Gastroenterology, American Journal of Clinical Nutrition and Journal of Neurochemistry.

In The Last Decade

H. Heckers

34 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
H. Heckers 187 98 97 71 65 36 421
C.V. Viswanathan 148 0.8× 189 1.9× 150 1.5× 131 1.8× 55 0.8× 43 464
Ogden C. Johnson 158 0.8× 47 0.5× 22 0.2× 53 0.7× 35 0.5× 25 411
N. Olsson 73 0.4× 208 2.1× 85 0.9× 77 1.1× 29 0.4× 21 425
Irwin L. Shapiro 64 0.3× 115 1.2× 139 1.4× 17 0.2× 86 1.3× 20 420
Siddabasave Gowda B. Gowda 85 0.5× 280 2.9× 67 0.7× 58 0.8× 26 0.4× 46 457
M. Pascaud 155 0.8× 142 1.4× 33 0.3× 107 1.5× 63 1.0× 38 416
Shuang Song 183 1.0× 107 1.1× 32 0.3× 21 0.3× 21 0.3× 28 431
Csilla Mišľanová 74 0.4× 71 0.7× 77 0.8× 11 0.2× 68 1.0× 29 437
C. Austin Pickens 134 0.7× 144 1.5× 24 0.2× 90 1.3× 34 0.5× 26 409
M Royer 40 0.2× 110 1.1× 48 0.5× 38 0.5× 47 0.7× 26 426

Countries citing papers authored by H. Heckers

Since Specialization
Citations

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

Fields of papers citing papers by H. Heckers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Heckers. 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 H. Heckers. The network helps show where H. Heckers may publish in the future.

Co-authorship network of co-authors of H. Heckers

This figure shows the co-authorship network connecting the top 25 collaborators of H. Heckers. A scholar is included among the top collaborators of H. Heckers 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 H. Heckers. H. Heckers 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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