John Parker‐Williams

431 total citations
10 papers, 266 citations indexed

About

John Parker‐Williams is a scholar working on Physiology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, John Parker‐Williams has authored 10 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Artificial Intelligence and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in John Parker‐Williams's work include Clinical Laboratory Practices and Quality Control (3 papers), AI in cancer detection (2 papers) and Malaria Research and Control (2 papers). John Parker‐Williams is often cited by papers focused on Clinical Laboratory Practices and Quality Control (3 papers), AI in cancer detection (2 papers) and Malaria Research and Control (2 papers). John Parker‐Williams collaborates with scholars based in United Kingdom, Netherlands and Malaysia. John Parker‐Williams's co-authors include Derek C. Macallan, David Bevan, A M H P van den Besselaar, Uwe Taborski, G Lutze, Rainer Zerback, G Vogel, Janet Cox‐Singh, Jérôme Rossert and Judith Marsh and has published in prestigious journals such as PLoS ONE, Intensive Care Medicine and British Journal of Haematology.

In The Last Decade

John Parker‐Williams

10 papers receiving 255 citations

Peers

John Parker‐Williams

PHEOH

CCM

IMMUN

HEMAT

PHYSI

E.M. Essien Nigeria

J. M. Jou Spain

R Wilson United Kingdom

Barbara Manenti Italy

Sih‐Shiang Huang Taiwan

Layla Bashawri Saudi Arabia

Suprit Basu India

Danilo Medina Giron Singapore

Hongxun Wu China

Paolo Carta Italy

E.M. Essien Nigeria

John Parker‐Williams

129 ×1.2

PHEOH

28 ×0.6

CCM

45 ×1.0

IMMUN

138 ×3.1

HEMAT

5 ×0.1

PHYSI

Citations per year, relative to John Parker‐Williams John Parker‐Williams (= 1×) peers E.M. Essien

Countries citing papers authored by John Parker‐Williams

Since Specialization

Citations

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

Fields of papers citing papers by John Parker‐Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Parker‐Williams. 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 John Parker‐Williams. The network helps show where John Parker‐Williams may publish in the future.

Co-authorship network of co-authors of John Parker‐Williams

This figure shows the co-authorship network connecting the top 25 collaborators of John Parker‐Williams. A scholar is included among the top collaborators of John Parker‐Williams 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 John Parker‐Williams. John Parker‐Williams 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.

Cox‐Singh, Janet, Balbir Singh, Cyrus Daneshvar, et al.. (2011). Anti-Inflammatory Cytokines Predominate in Acute Human Plasmodium knowlesi Infections. PLoS ONE. 6(6). e20541–e20541. 34 indexed citations

2.

Brereton, M., Barbara De la Salle, John Burthem, et al.. (2008). Review of the UK NEQAS (H) digital morphology pilot scheme for continuing professional development accessed via the internet. International Journal of Laboratory Hematology. 30(5). 365–371. 10 indexed citations

3.

Chilton, Daniella, et al.. (2006). Use of rapid diagnostic tests for diagnosis of malaria in the UK. Journal of Clinical Pathology. 59(8). 862–866. 33 indexed citations

4.

Burthem, John, M. Brereton, Claire V. Hutchinson, et al.. (2005). The use of digital ‘virtual slides’ in the quality assessment of haematological morphology: results of a pilot exercise involving UK NEQAS(H) participants. British Journal of Haematology. 130(2). 293–296. 34 indexed citations

5.

Casadevall, Nicole, Denis Cournoyer, Judith Marsh, et al.. (2004). Recommendations on haematological criteria for the diagnosis of epoetin‐induced pure red cell aplasia. European Journal Of Haematology. 73(6). 389–396. 39 indexed citations

6.

Macallan, Derek C., et al.. (2000). Interactive clinical case reports. Transactions of the Royal Society of Tropical Medicine and Hygiene. 94(4). 353–356. 26 indexed citations

7.

Macallan, Derek C., et al.. (1999). Automated erythrocytapheresis in the treatment of severe falciparum malaria. Journal of Infection. 39(3). 233–236. 21 indexed citations

8.

Besselaar, A M H P van den, G Lutze, John Parker‐Williams, et al.. (1995). Multicenter evaluation of a new capillary blood prothrombin time monitoring system. Blood Coagulation & Fibrinolysis. 6(8). 726–732. 60 indexed citations

9.

Parker‐Williams, John. (1987). Autologous Blood Transfusion. Journal of the Royal Society of Medicine. 80(5). 266–268. 4 indexed citations

10.

Tighe, D., et al.. (1987). A phospholipase inhibitor modifies the pulmonary damage associated with peritonitis in rabbits. Intensive Care Medicine. 13(4). 284–290. 5 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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