H Förster

75 total papers · 910 total citations
50 papers, 715 citations indexed

About

H Förster is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Clinical Biochemistry. According to data from OpenAlex, H Förster has authored 50 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Physiology and 11 papers in Clinical Biochemistry. Recurrent topics in H Förster's work include Diet, Metabolism, and Disease (11 papers), Metabolism and Genetic Disorders (9 papers) and Diet and metabolism studies (6 papers). H Förster is often cited by papers focused on Diet, Metabolism, and Disease (11 papers), Metabolism and Genetic Disorders (9 papers) and Diet and metabolism studies (6 papers). H Förster collaborates with scholars based in United States, Germany and Switzerland. H Förster's co-authors include Murray Epstein, Tsuneo Takenaka, M. Epstein, S Lutz, Kôichi Hayashi, Rodger Loutzenhiser, A Micheli, Chiyoko N. Inoue, Michael P. Epstein and Toichi Takenaka and has published in prestigious journals such as New England Journal of Medicine, Circulation Research and Journal of the American Society of Nephrology.

In The Last Decade

H Förster

48 papers receiving 667 citations

Author Peers

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

Author						Papers	Cites
H Förster	215	214	198	144	130	50	715
Yoichi Ohno	205 1.0×	138 0.6×	144 0.7×	204 1.4×	178 1.4×	66	788
Yunfeng Xiao	120 0.6×	254 1.2×	214 1.1×	154 1.1×	53 0.4×	45	818
Yu Yang	156 0.7×	319 1.5×	123 0.6×	159 1.1×	68 0.5×	39	772
Nevena Mihailovic‐Stanojevic	104 0.5×	155 0.7×	83 0.4×	93 0.6×	134 1.0×	51	709
Ronald Okun	143 0.7×	143 0.7×	91 0.5×	93 0.6×	68 0.5×	49	801
Sandra Ballesteros	169 0.8×	202 0.9×	133 0.7×	174 1.2×	37 0.3×	39	828
Pradeep Kumar Dabla	109 0.5×	142 0.7×	106 0.5×	144 1.0×	81 0.6×	53	759
Mohammed H. Abdulla	242 1.1×	87 0.4×	176 0.9×	177 1.2×	46 0.4×	69	690
Ivan Rubio‐Gayosso	81 0.4×	174 0.8×	144 0.7×	175 1.2×	51 0.4×	37	784
Asko Riutta	109 0.5×	166 0.8×	189 1.0×	64 0.4×	50 0.4×	52	884

Countries citing papers authored by H Förster

Since Specialization

Citations

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

Fields of papers citing papers by H Förster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Förster

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