Karl Emmert-Fees

38 total papers · 652 total citations
22 papers, 289 citations indexed

About

Karl Emmert-Fees is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Karl Emmert-Fees has authored 22 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Karl Emmert-Fees's work include Obesity, Physical Activity, Diet (7 papers), Chronic Disease Management Strategies (7 papers) and Nutritional Studies and Diet (5 papers). Karl Emmert-Fees is often cited by papers focused on Obesity, Physical Activity, Diet (7 papers), Chronic Disease Management Strategies (7 papers) and Nutritional Studies and Diet (5 papers). Karl Emmert-Fees collaborates with scholars based in Germany, United States and India. Karl Emmert-Fees's co-authors include Michael Laxy, Lars Schwettmann, Eva Rehfuess, Peter von Philipsborn, Subramani Poongothai, Viswanathan Mohan, Shivani A. Patel, GR Sridhar, Mohammed K. Ali and Nikhil Tandon and has published in prestigious journals such as JAMA, Diabetes Care and Cochrane Database of Systematic Reviews.

In The Last Decade

Karl Emmert-Fees

20 papers receiving 286 citations

Author Peers

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

Author						Papers	Cites
Karl Emmert-Fees	81	79	68	51	41	22	289
Apophia Namageyo-Funa	77 1.0×	56 0.7×	114 1.7×	14 0.3×	15 0.4×	18	307
Hein Stigum	54 0.7×	58 0.7×	29 0.4×	21 0.4×	25 0.6×	16	296
Tue Helms Andersen	55 0.7×	26 0.3×	65 1.0×	33 0.6×	17 0.4×	21	329
Prajjwal Pyakurel	35 0.4×	39 0.5×	42 0.6×	35 0.7×	26 0.6×	32	256
Yitagesu Mamo	108 1.3×	59 0.7×	28 0.4×	17 0.3×	13 0.3×	22	276
Panupong Upala	22 0.3×	57 0.7×	34 0.5×	66 1.3×	43 1.0×	33	307
Alan Swee Hock Ch’ng	32 0.4×	33 0.4×	29 0.4×	63 1.2×	8 0.2×	24	324
Weidong Ji	18 0.2×	56 0.7×	48 0.7×	32 0.6×	11 0.3×	23	302
K Leelamoni	66 0.8×	140 1.8×	42 0.6×	15 0.3×	26 0.6×	19	317
Carolin Elizabeth George	18 0.2×	22 0.3×	68 1.0×	44 0.9×	27 0.7×	35	330

Countries citing papers authored by Karl Emmert-Fees

Since Specialization

Citations

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

Fields of papers citing papers by Karl Emmert-Fees

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl Emmert-Fees. 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 Karl Emmert-Fees. The network helps show where Karl Emmert-Fees may publish in the future.

Co-authorship network of co-authors of Karl Emmert-Fees

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Emmert-Fees. A scholar is included among the top collaborators of Karl Emmert-Fees 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 Karl Emmert-Fees. Karl Emmert-Fees 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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