Peter L Whitfeld

870 total citations
10 papers, 709 citations indexed

About

Peter L Whitfeld is a scholar working on Immunology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter L Whitfeld has authored 10 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter L Whitfeld's work include Complement system in diseases (3 papers), Neuropeptides and Animal Physiology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Peter L Whitfeld is often cited by papers focused on Complement system in diseases (3 papers), Neuropeptides and Animal Physiology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Peter L Whitfeld collaborates with scholars based in Australia, United States and Germany. Peter L Whitfeld's co-authors include Charles R. Mackay, Hyun Lee, John Shine, P. H. Seeburg, Erin M. Corsini, Stewart Craig, Craig Gérard, Bao Lu, Norma P. Gerard and Judith A. Clements and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Molecular and Cellular Biology.

In The Last Decade

Peter L Whitfeld

10 papers receiving 679 citations

Peers

Peter L Whitfeld

IMMUN

MB

GENET

CMN

RNMI

H. Link Germany

Piotr Zelazowski United States

M A Berman United States

I. Ishida Japan

M. A. Ritter United Kingdom

Marcelo Criscuolo Argentina

Corinne Ploix Switzerland

Elaine Lourenço Brazil

Florence Vasseur France

Abigail C. Buenafe United States

H. Link Germany

Peter L Whitfeld

373 ×1.2

IMMUN

118 ×0.5

MB

56 ×0.7

GENET

41 ×0.5

CMN

63 ×0.8

RNMI

Citations per year, relative to Peter L Whitfeld Peter L Whitfeld (= 1×) peers H. Link

Countries citing papers authored by Peter L Whitfeld

Since Specialization

Citations

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

Fields of papers citing papers by Peter L Whitfeld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter L Whitfeld

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

All Works

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10 of 10 papers shown

1.

Rouet, Romain, David C. Lowe, Kip Dudgeon, et al.. (2012). Expression of high-affinity human antibody fragments in bacteria. Nature Protocols. 7(2). 364–373. 58 indexed citations

2.

Mackay, Charles R., Hyun Lee, Peter L Whitfeld, et al.. (2009). The C5a Receptor (C5aR) C5L2 Is a Modulator of C5aR-mediated Signal Transduction. Journal of Biological Chemistry. 285(10). 7633–7644. 206 indexed citations

3.

Lee, Hyun, Peter L Whitfeld, & Charles R. Mackay. (2008). Receptors for complement C5a. The importance of C5aR and the enigmatic role of C5L2. Immunology and Cell Biology. 86(2). 153–160. 118 indexed citations

4.

Lee, Hyun, Alexis Vogelzang, Rebecca Newton, et al.. (2006). Human C5aR knock-in mice facilitate the production and assessment of anti-inflammatory monoclonal antibodies. Nature Biotechnology. 24(10). 1279–1284. 49 indexed citations

5.

Whitfeld, Peter L, Chiara Tyndall, Clare Stirzaker, A.R. Bellamy, & Gerald W. Both. (1987). Location of Sequences Within Rotavirus SA11 Glycoprotein VP7 Which Direct it to the Endoplasmic Reticulum. Molecular and Cellular Biology. 7(7). 2491–2497. 21 indexed citations

6.

Fuller, Peter J., et al.. (1985). Vasopressin-neurophysin II gene expression in the ovary: studies in Sprague–Dawley, Long–Evans and Brattleboro rats. Journal of Endocrinology. 105(3). 317–321. 21 indexed citations

7.

Fuller, Peter J., Judith A. Clements, Peter L Whitfeld, & J W Funder. (1985). Kallikrein gene expression in the rat anterior pituitary. Molecular and Cellular Endocrinology. 39(2). 99–105. 31 indexed citations

8.

Clements, Judith A., Peter L Whitfeld, Nancy E. Cooke, et al.. (1983). EXPRESSION OF THE PROLACTIN GENE IN HUMAN DECIDUA-CHORION. Endocrinology. 112(3). 1133–1134. 43 indexed citations

9.

Whitfeld, Peter L, P. H. Seeburg, & John Shine. (1982). The Human Pro-opiomelanocortin Gene: Organization, Sequence, and Interspersion with Repetitive DNA. DNA. 1(2). 133–143. 123 indexed citations

10.

Owerbach, David, William J. Rutter, James L. Roberts, et al.. (1981). The proopiocortin (adrenocorticotropin/?-lipotropin) gene is located on chromosome 2 in humans. Somatic Cell and Molecular Genetics. 7(3). 359–369. 39 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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