Jefferson D. Upshaw

2.1k citations
7 papers · 1.5k indexed · 1 hit paper · h-index 7
Topics
Complement system in diseases (3 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers)Chronic Lymphocytic Leukemia Research (2 papers)
Partner nations
United States

In The Last Decade

Jefferson D. Upshaw

7 papers receiving 1.4k citations

Hit Papers

Mutations in a member of the ADAMTS gene family cause thr...200120262009201720014008001.2k

Peers

Jefferson D. Upshaw
Comparison fields: 5 of 61
  • Immunology 1.2k
  • Hematology 905
  • Nephrology 544
  • Genetics 392
  • Epidemiology 105
Replace Eric C.‐Y. Lian with:
Eric C.‐Y. Lian United States
Ara Metjian United States
Guibin Chen United States
J. C. W. Marsh United Kingdom
Aishwarya Ravindran United States
Michael J. Clemente United States
Tom J. G. Swaak Netherlands
Maria Laura Evangelista Italy
P. A. Dyer United Kingdom
RA Kyle United States
Jefferson D. Upshaw relative to Eric C.‐Y. Lian United States Eric C.‐Y. Lian's profile →
Citations per field
00.5×1.5×
Eric C.‐Y. Lian · 1×
Citations per year

Countries citing papers authored by Jefferson D. Upshaw

Since Specialization
Citations

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

Fields of papers citing papers by Jefferson D. Upshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jefferson D. Upshaw. 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 Jefferson D. Upshaw. The network helps show where Jefferson D. Upshaw may publish in the future.

Co-authorship network of co-authors of Jefferson D. Upshaw

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

All Works

About Jefferson D. Upshaw

Jefferson D. Upshaw is a scholar working on Genetics, Immunology and Hematology, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Complement system in diseases (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (905 citations), Nephrology (544 citations) and Immunology (1.2k citations). Jefferson D. Upshaw has collaborated with scholars based in United States. Frequent co-authors include Jeanette N. McClintick, Ralph A. Gruppo, Sally P. Stabler, Susan B. Shurin, Eric C.‐Y. Lian, Eric E. Bouhassira, David Siemieniak, Angela Yang, Han‐Mou Tsai and Visalam Chandrasekaran. Their work appears in journals such as Nature, New England Journal of Medicine and Cancer.

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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