Richard M. Jack

745 citations
17 papers · 595 indexed · h-index 11
Topics
Monoclonal and Polyclonal Antibodies Research (3 papers)Glycosylation and Glycoproteins Research (2 papers)Computational Drug Discovery Methods (2 papers)
Partner nations
United StatesKenyaItaly

In The Last Decade

Richard M. Jack

16 papers receiving 566 citations

Peers

Richard M. Jack
Comparison fields: 5 of 82
  • Immunology 266
  • Epidemiology 142
  • Molecular Biology 137
  • Hematology 96
  • Rheumatology 88
Replace Stacey L. Mueller‐Ortiz with:
Stacey L. Mueller‐Ortiz United States
Katrine Pilely Denmark
J J Gibbons United States
S.-E. Svehag Denmark
Judith Austermann Germany
Gianna Fiorucci Italy
E L Larsson Sweden
Mikio Kuraya Japan
Mahmoud Goodarzi United States
Richard M. Jack relative to Stacey L. Mueller‐Ortiz United States Stacey L. Mueller‐Ortiz's profile →
Citations per field
00.5×1.5×2.0×
Stacey L. Mueller‐Ortiz · 1×
Citations per year

Countries citing papers authored by Richard M. Jack

Since Specialization
Citations

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

Fields of papers citing papers by Richard M. Jack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard M. Jack

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 52
3 12
4 29
5 12
6 4
7 2
8 1
9 17
10 49
11 1
12 124
13 194
14 22
15 25
16 9
17 41

About Richard M. Jack

Richard M. Jack is a scholar working on Parasitology, Immunology and Computer Science Applications, having authored 17 papers that have together received 595 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Immunology (266 citations), Hematology (96 citations) and Obstetrics and Gynecology (53 citations). Richard M. Jack has collaborated with scholars based in United States, Kenya and Italy. Frequent co-authors include Sergei F. Barbashov, A Nicholson-Weller, Lloyd B. Klickstein, Tun Liu, D. W. Bianchi, Jone E. Sampson, Brian E. Ward, Thomas Shipp, Narsing A. Rao and Waldon B. Wacker. Their work appears in journals such as Immunity, Journal of Cell Science and American Journal of Obstetrics and Gynecology.

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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