Fred Hill

495 total citations
8 papers, 420 citations indexed

About

Fred Hill is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Fred Hill has authored 8 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Organic Chemistry and 2 papers in Biomedical Engineering. Recurrent topics in Fred Hill's work include ATP Synthase and ATPases Research (4 papers), Chemical Reaction Mechanisms (3 papers) and Fibroblast Growth Factor Research (1 paper). Fred Hill is often cited by papers focused on ATP Synthase and ATPases Research (4 papers), Chemical Reaction Mechanisms (3 papers) and Fibroblast Growth Factor Research (1 paper). Fred Hill collaborates with scholars based in United States, Ukraine and France. Fred Hill's co-authors include William W. Andrews, W S Allison, Frederick Esch, Naoto Ueno, Andrew Baird, Luc Denoroy, Roger Guillemin, Denis Gospodarowicz, Nicholas Ling and William S. Allison and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Archives of Biochemistry and Biophysics.

In The Last Decade

Fred Hill

8 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fred Hill United States	7	335	77	38	31	27	8	420
Richard L. Croxen United States	11	165 0.5×	57 0.7×	20 0.5×	84 2.7×	18 0.7×	13	421
Po‐Jui Huang Taiwan	8	172 0.5×	38 0.5×	49 1.3×	42 1.4×	14 0.5×	14	322
Yoko Kawamoto Japan	11	162 0.5×	74 1.0×	35 0.9×	47 1.5×	10 0.4×	22	360
Vimalkumar Patel United States	8	235 0.7×	23 0.3×	27 0.7×	91 2.9×	13 0.5×	16	484
Elizabeth M. Perruccio United States	4	139 0.4×	42 0.5×	34 0.9×	51 1.6×	18 0.7×	4	332
Noboru Arimura Japan	15	184 0.5×	15 0.2×	20 0.5×	20 0.6×	18 0.7×	20	787
Allie M. Sohn United States	10	162 0.5×	36 0.5×	90 2.4×	33 1.1×	15 0.6×	11	436
Xiaoye Schneider‐Yin Switzerland	16	580 1.7×	37 0.5×	10 0.3×	14 0.5×	14 0.5×	45	686
Ming J. Cheng United States	6	166 0.5×	46 0.6×	24 0.6×	26 0.8×	13 0.5×	8	361
Kiyoshi Hidaka Japan	10	180 0.5×	64 0.8×	44 1.2×	15 0.5×	36 1.3×	21	335

Countries citing papers authored by Fred Hill

Since Specialization

Citations

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

Fields of papers citing papers by Fred Hill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Hill. A scholar is included among the top collaborators of Fred Hill 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 Fred Hill. Fred Hill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Hill, Fred, et al.. (2023). Determining Prior Authorization Approval for Lumbar Stenosis Surgery With Machine Learning. Global Spine Journal. 14(6). 1753–1759. 6 indexed citations

Balsam, Leora B., Eddie Louie, Fred Hill, Jamie P. Levine, & Michael Phillips. (2017). Mycobacterium chimaera left ventricular assist device infections. Journal of Cardiac Surgery. 32(6). 402–404. 14 indexed citations

Dewji, Nazneen N., David A. Wenger, Michael S. Donoviel, et al.. (1986). Molecular cloning of the sphingolipid activator protein — 1 (SAP - 1), the sulfatide sulfatase activator. Biochemical and Biophysical Research Communications. 134(2). 989–994. 32 indexed citations

Esch, Frederick, Naoto Ueno, Andrew Baird, et al.. (1985). Primary structure of bovine brain acidic fibroblast growth factor (FGF). Biochemical and Biophysical Research Communications. 133(2). 554–562. 188 indexed citations

Laikind, Paul K., Fred Hill, & William S. Allison. (1985). The use of [3H]aniline to identify the essential carboxyl group in the bovine mitochondrial F1-ATPase that reacts with 1-(ethoxycarbonyl)-2-ethoxy-1,2-dihydroquinoline. Archives of Biochemistry and Biophysics. 240(2). 904–920. 12 indexed citations

Andrews, William W., Fred Hill, & W S Allison. (1984). Identification of the lysine residue to which the 4-nitrobenzofurazan group migrates after the bovine mitochondrial F1-ATPase is inactivated with 7-chloro-4-nitro[14C]benzofurazan.. Journal of Biological Chemistry. 259(23). 14378–14382. 70 indexed citations

Andrews, William W., Masasuke Yoshida, Fred Hill, & William S. Allison. (1984). Identification of an essential lysine residue in the β subunit of the F1-ATPase from the thermophilic bacterium, PS3, using 7-chloro-4-nitro[14C]benzofurazan. Biochemical and Biophysical Research Communications. 123(3). 1040–1046. 9 indexed citations

Andrews, William W., Fred Hill, & W S Allison. (1984). Identification of the essential tyrosine residue in the beta subunit of bovine heart mitochondrial F1-ATPase that is modified by 7-chloro-4-nitro[14C]benzofurazan.. Journal of Biological Chemistry. 259(13). 8219–8225. 89 indexed citations

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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