L. G. Whitby

89 total papers · 3.8k total citations
55 papers, 3.0k citations indexed

About

L. G. Whitby is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, L. G. Whitby has authored 55 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Physiology. Recurrent topics in L. G. Whitby's work include Clinical Laboratory Practices and Quality Control (7 papers), Alkaline Phosphatase Research Studies (6 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). L. G. Whitby is often cited by papers focused on Clinical Laboratory Practices and Quality Control (7 papers), Alkaline Phosphatase Research Studies (6 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). L. G. Whitby collaborates with scholars based in United Kingdom, United States and South Sudan. L. G. Whitby's co-authors include J Axelrod, Julius Axelrod, H. Weil‐Malherbe, G. Hertting, Georg Hertting, D.W. Moss, D. W. Moss, R H Eaton, Irwin J. Kopin and Leslie L. Iversen and has published in prestigious journals such as Nature, Science and The Lancet.

In The Last Decade

L. G. Whitby

53 papers receiving 2.6k citations

Hit Papers

A new method for preparin... 1953 2026 1977 2001 1953 1961 1961 1961 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
L. G. Whitby 1.2k 719 467 463 217 55 3.0k
H. Weil‐Malherbe 1.1k 0.9× 806 1.1× 571 1.2× 273 0.6× 232 1.1× 93 3.3k
David V. Godin 953 0.8× 371 0.5× 613 1.3× 407 0.9× 397 1.8× 70 3.2k
Aaron H. Anton 1.2k 1.0× 1.1k 1.5× 574 1.2× 238 0.5× 241 1.1× 36 3.7k
Herman Van Belle 1.4k 1.2× 380 0.5× 365 0.8× 342 0.7× 356 1.6× 86 3.2k
Sookja Kim Chung 1.3k 1.1× 253 0.4× 647 1.4× 357 0.8× 206 0.9× 75 3.2k
Ian C. West 1.6k 1.3× 363 0.5× 418 0.9× 337 0.7× 150 0.7× 49 3.0k
James H. Ludens 2.0k 1.7× 1.1k 1.5× 479 1.0× 515 1.1× 152 0.7× 59 3.0k
G. Zürcher 896 0.8× 553 0.8× 318 0.7× 215 0.5× 130 0.6× 42 3.0k
Abraham Danon 859 0.7× 319 0.4× 316 0.7× 270 0.6× 392 1.8× 78 2.6k
Marie‐Aude Devynck 900 0.8× 323 0.4× 624 1.3× 291 0.6× 275 1.3× 86 2.2k

Countries citing papers authored by L. G. Whitby

Since Specialization
Citations

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

Fields of papers citing papers by L. G. Whitby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. G. Whitby. 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 L. G. Whitby. The network helps show where L. G. Whitby may publish in the future.

Co-authorship network of co-authors of L. G. Whitby

This figure shows the co-authorship network connecting the top 25 collaborators of L. G. Whitby. A scholar is included among the top collaborators of L. G. Whitby 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 L. G. Whitby. L. G. Whitby 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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