Michael Goman

1.1k citations
11 papers · 1.0k · 1 hit paper · h-index 11

Impact in

Papers in

Michael Goman

11 papers receiving 992 citations

Michael Goman's Hit Papers

Allelic dimorphism in a surface antigen gene of the malaria parasite Plasmodium falciparum 1987 · 420 citations
4200+13+26Years since publication100200300400

Peers

Michael Goman
Comparison fields: 5 of 53
  • Public Health, Environmental and Occupational Health 811
  • Parasitology 178
  • Immunology 297
  • Virology 56
  • Endocrinology 31
Replace Alison M. Creasey with:
Alison M. Creasey United Kingdom
M Aikawa United States
Micheline Guillotte France
J Rener United States
D E Arnot United Kingdom
J. Werner Zolg United States
Nicanor Obaldía Panama
Chiang Syin United States
Angelika Sturm Australia
Curtis S. Huber United States
Michael Goman relative to Alison M. Creasey United Kingdom Alison M. Creasey's profile →
Citations per field
00.5×1.5×
Alison M. Creasey · 1×
Citations per year

Countries citing papers authored by Michael Goman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Goman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Goman, 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 Michael Goman Line = papers co-authored together Michael Goman links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Allelic dimorphism in a surface antigen gene of the malaria parasite Plasmodium falciparum
Hit paper breakdown →
1987420
2 1982139
3 1991104
4 199077
5 199262
6 199148
7 199047
8 199436
9 199335
10 199331
11 197522

About Michael Goman

Michael Goman is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Epidemiology, Genetics and Immunology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Trypanosoma species research and implications (4 papers), RNA and protein synthesis mechanisms (3 papers), Research on Leishmaniasis Studies (3 papers), Invertebrate Immune Response Mechanisms (1 paper), HIV Research and Treatment (1 paper), Computational Drug Discovery Methods (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (811 citations), Parasitology (178 citations), Immunology (297 citations), Virology (56 citations) and Endocrinology (31 citations). Michael Goman has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include John G. Scaife, Kazuyuki Tanabe, Martin Mackay, Robert G. Ridley, John E. Hyde, J. Werner Zolg, Gordon Langsley, N. K. Yankovsky, B.J. Kilbey and Sybil M. McAleese. Their work appears in journals such as Molecular and Biochemical Parasitology, Nucleic Acids Research, Journal of Molecular Biology and Molecular and General Genetics MGG.

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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