Jack Williams

42 papers receiving 1.8k citations

Jack Williams's Hit Papers

Randomized, Double‐Blind, Phase 2a Trial of Falciparum Malaria Vaccines RTS,S/AS01B and RTS,S/AS02A in Malaria‐Naive Adults: Safety, Efficacy, and Immunologic Associates of Protection 2009 · 370 citations
3700+5+11Years since publication100200300

Peers

Jack Williams
Comparison fields: 5 of 113
  • Public Health, Environmental and Occupational Health 952
  • Endocrine and Autonomic Systems 224
  • Virology 97
  • Aging 33
  • Parasitology 115
Replace Daniel E. Zak with:
Daniel E. Zak United States
Lars Kaderali Germany
Andreas Seyfang United States
Vladimir Jojic United States
Eiryo Kawakami Japan
Fabien Crauste France
E. Michael Gertz United States
Vidya Subramanian United States
Xiaojun Ding China
Douglas G. Rogers United States
Jack Williams relative to Daniel E. Zak United States Daniel E. Zak's profile →
Citations per field
00.5×8.3×
Daniel E. Zak · 1×
Citations per year

Countries citing papers authored by Jack Williams

Since Specialization
Citations

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

Fields of papers citing papers by Jack Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jack Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack Williams Line = papers co-authored together Jack Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Randomized, Double‐Blind, Phase 2a Trial of Falciparum Malaria Vaccines RTS,S/AS01B and RTS,S/AS02A in Malaria‐Naive Adults: Safety, Efficacy, and Immunologic Associates of Protection
Hit paper breakdown →
2009370
2 1984233
3 2016136
4 2009128
5 201692
6 200087
7 201586
8 200883
9 201780
10 200870
11 198469
12 200651
13 200150
14 201842
15 197641
16 199135
17 197634
18 202025
19 202022
20 201821

About Jack Williams

Jack Williams is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics, Physiology, Molecular Biology and Numerical Analysis, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Numerical Methods and Algorithms (7 papers), Mosquito-borne diseases and control (6 papers), Digital Filter Design and Implementation (5 papers), Circadian rhythm and melatonin (5 papers), Control Systems and Identification (4 papers), Spaceflight effects on biology (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (952 citations), Endocrine and Autonomic Systems (224 citations), Virology (97 citations), Aging (33 citations) and Parasitology (115 citations). Jack Williams has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Thomas R. Burkot, Imogene Schneider, Qing‐Jun Meng, Charles Streuli, S. W. Ellacott, Nan Yang, Megan Dowler, Francesco Silvestrini, Pietro Alano and Urszula Krzych. Their work appears in journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis, IMA Journal of Numerical Analysis, PLoS ONE and Endocrine Connections.

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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