J Spragg

22 papers receiving 414 citations

Peers

J Spragg
Comparison fields: 5 of 67
  • Genetics 240
  • Hematology 117
  • Immunology and Allergy 59
  • Cancer Research 95
  • Immunology 133
Replace Giovanni Luca Pagliardi with:
Giovanni Luca Pagliardi Italy
Diego Maritano Italy
TJ Ley United States
Pacifico Meo Italy
HJ Radzun Germany
Theodore G. Gabig United States
T Umiel United States
D. Shoham Israel
T. A. S. Amos United Kingdom
Sylvie Berthier France
J Spragg relative to Giovanni Luca Pagliardi Italy Giovanni Luca Pagliardi's profile →
Citations per field
00.5×2.9×
Giovanni Luca Pagliardi · 1×
Citations per year

Countries citing papers authored by J Spragg

Since Specialization
Citations

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

Fields of papers citing papers by J Spragg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979109
2 198394
3 198850
4 198433
5 198128
6 198325
7 197925
8 198323
9 198021
10 197318
11
Immunologic reactivity of purified human urinary kallikrein (urokallikrein) with antiserum directed against human pancreas.
197711
12
Effect of cyclosporine on urinary kallikrein excretion in patients with rheumatoid arthritis.
19889
13 19837
14 19857
15 19916
16 19895
17
Characterization of purified human latent kallikrein.
19835
18 19892
19 19871
20 19861

About J Spragg

J Spragg is a scholar working on Genetics, Molecular Biology, Hematology, Immunology and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 482 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (17 papers), Hemophilia Treatment and Research (5 papers), Enzyme function and inhibition (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Complement system in diseases (3 papers), Urticaria and Related Conditions (2 papers), Renin-Angiotensin System Studies (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Genetics (240 citations), Hematology (117 citations), Immunology and Allergy (59 citations), Cancer Research (95 citations) and Immunology (133 citations). J Spragg has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include K. Frank Austen, Martin Maier, Bernd R. Binder, Lawrence B. Schwartz, Onesmo K. ole-MoiYoi, Geraldine S. Pinkus, Alvin E. Davis, Candace Strang, Fred S. Rosen and V H Donaldson. Their work appears in journals such as Advances in experimental medicine and biology, The Journal of Immunology, Journal of Histochemistry & Cytochemistry, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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