James A. Rillema

49 total papers · 756 total citations
42 papers, 601 citations indexed

About

James A. Rillema is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, James A. Rillema has authored 42 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Genetics. Recurrent topics in James A. Rillema's work include Growth Hormone and Insulin-like Growth Factors (11 papers), Polyamine Metabolism and Applications (9 papers) and Estrogen and related hormone effects (8 papers). James A. Rillema is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (11 papers), Polyamine Metabolism and Applications (9 papers) and Estrogen and related hormone effects (8 papers). James A. Rillema collaborates with scholars based in United States and Netherlands. James A. Rillema's co-authors include Bruce E. Linebaugh, Jack L. Kostyo, Sissy Jhiang, Guang-Yao Fan, Larry Anderson, Charles H. Williams, Sarah Collins, Richard R. Gala, Mels Sluyser and Kish L. Golden and has published in prestigious journals such as Nature, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

James A. Rillema

42 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
James A. Rillema 280 210 165 82 56 42 601
H Garcin 359 1.3× 170 0.8× 88 0.5× 72 0.9× 33 0.6× 43 625
Elaine C. Souza 192 0.7× 181 0.9× 66 0.4× 64 0.8× 41 0.7× 23 547
Anne Gangloff 191 0.7× 209 1.0× 200 1.2× 31 0.4× 22 0.4× 26 631
Katsumi Iwase 188 0.7× 202 1.0× 54 0.3× 50 0.6× 25 0.4× 51 504
Morris L. Givner 263 0.9× 220 1.0× 117 0.7× 30 0.4× 48 0.9× 49 673
Raquel L. Bernardino 255 0.9× 87 0.4× 104 0.6× 27 0.3× 55 1.0× 48 682
Kenkichi IMAMURA 314 1.1× 177 0.8× 130 0.8× 30 0.4× 28 0.5× 30 651
E.E. McCoy 234 0.8× 140 0.7× 66 0.4× 20 0.2× 50 0.9× 27 576
Robert N. Bone 285 1.0× 146 0.7× 153 0.9× 42 0.5× 20 0.4× 23 639
Mohammad Keramatipour 257 0.9× 60 0.3× 120 0.7× 50 0.6× 22 0.4× 59 542

Countries citing papers authored by James A. Rillema

Since Specialization
Citations

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

Fields of papers citing papers by James A. Rillema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Rillema. 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 James A. Rillema. The network helps show where James A. Rillema may publish in the future.

Co-authorship network of co-authors of James A. Rillema

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