Paul H. Graham

69 total papers · 1.0k total citations
40 papers, 542 citations indexed

About

Paul H. Graham is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research. According to data from OpenAlex, Paul H. Graham has authored 40 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Surgery and 10 papers in Cancer Research. Recurrent topics in Paul H. Graham's work include Adrenal and Paraganglionic Tumors (15 papers), Pituitary Gland Disorders and Treatments (10 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Paul H. Graham is often cited by papers focused on Adrenal and Paraganglionic Tumors (15 papers), Pituitary Gland Disorders and Treatments (10 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Paul H. Graham collaborates with scholars based in United States, Taiwan and Netherlands. Paul H. Graham's co-authors include Nancy D. Perrier, Trudy M. Forte, Elizabeth G. Grubbs, Jeffrey E. Lee, Steven G. Waguespack, Naifa L. Busaidy, Maria E. Cabanillas, Michelle D. Williams, Jeena Varghese and Sarah B. Fisher and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

Paul H. Graham

36 papers receiving 532 citations

Author Peers

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

Author						Papers	Cites
Paul H. Graham	269	246	149	105	90	40	542
Francesca Torresan	351 1.3×	270 1.1×	94 0.6×	91 0.9×	70 0.8×	50	572
Makoto Fujishima	182 0.7×	261 1.1×	80 0.5×	52 0.5×	74 0.8×	45	537
Michael J. Campbell	305 1.1×	293 1.2×	92 0.6×	28 0.3×	102 1.1×	35	555
Aleksandar Diklić	426 1.6×	239 1.0×	107 0.7×	47 0.4×	58 0.6×	64	619
Takaya Kodama	218 0.8×	248 1.0×	170 1.1×	63 0.6×	161 1.8×	37	577
Benzon M. Dy	306 1.1×	339 1.4×	71 0.5×	29 0.3×	119 1.3×	31	486
Paul Friedlander	186 0.7×	216 0.9×	104 0.7×	36 0.3×	47 0.5×	31	458
Yoshihito Hara	345 1.3×	205 0.8×	62 0.4×	44 0.4×	122 1.4×	29	601
Joon‐Hyop Lee	212 0.8×	221 0.9×	79 0.5×	23 0.2×	61 0.7×	46	496
Franz Sesti	179 0.7×	131 0.5×	164 1.1×	199 1.9×	23 0.3×	46	524

Countries citing papers authored by Paul H. Graham

Since Specialization

Citations

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

Fields of papers citing papers by Paul H. Graham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul H. Graham

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