J Graham

42 total papers · 771 total citations
21 papers, 576 citations indexed

About

J Graham is a scholar working on Molecular Biology, Organic Chemistry and Artificial Intelligence. According to data from OpenAlex, J Graham has authored 21 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Organic Chemistry and 3 papers in Artificial Intelligence. Recurrent topics in J Graham's work include Gene expression and cancer classification (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and Medical Imaging and Analysis (3 papers). J Graham is often cited by papers focused on Gene expression and cancer classification (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and Medical Imaging and Analysis (3 papers). J Graham collaborates with scholars based in United Kingdom, Belgium and Canada. J Graham's co-authors include Mohammad A. Dabbah, Mitra Tavakoli, Ioannis N. Petropoulos, Rayaz A. Malik, Timothy W. Wallace, M. G. Roberts, Hugh Devlin, Michael Tso, Jingsong Yuan and Reinhilde Jacobs and has published in prestigious journals such as Organic Letters, Physics in Medicine and Biology and Osteoporosis International.

In The Last Decade

J Graham

21 papers receiving 564 citations

Author Peers

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

Author						Papers	Cites
J Graham	237	207	183	97	82	21	576
Janet A. Anderson	192 0.8×	218 1.1×	267 1.5×	130 1.3×	19 0.2×	29	613
Alan I. Mandell	120 0.5×	445 2.1×	211 1.2×	77 0.8×	15 0.2×	22	598
Kenzo Yamamura	269 1.1×	204 1.0×	102 0.6×	158 1.6×	45 0.5×	24	625
Jonas S. Friedenwald	84 0.4×	188 0.9×	140 0.8×	136 1.4×	18 0.2×	28	601
Kouichi Kawazu	133 0.6×	225 1.1×	104 0.6×	189 1.9×	15 0.2×	29	615
Alba Martín‐Gil	347 1.5×	200 1.0×	289 1.6×	123 1.3×	14 0.2×	32	598
Giuseppe Ferreri	361 1.5×	294 1.4×	318 1.7×	69 0.7×	3 0.0×	32	630
Michael C. Makoid	177 0.7×	173 0.8×	66 0.4×	115 1.2×	16 0.2×	26	516
Abhay Joshi	100 0.4×	53 0.3×	78 0.4×	263 2.7×	24 0.3×	25	607
M.A. Shatos	186 0.8×	58 0.3×	97 0.5×	156 1.6×	11 0.1×	21	546

Countries citing papers authored by J Graham

Since Specialization

Citations

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

Fields of papers citing papers by J Graham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Graham

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