Jason P. Acker

7.8k citations
233 papers · 5.3k indexed · h-index 40

Jason P. Acker

224 papers receiving 5.2k citations

Peers

Jason P. Acker
Comparison fields: 5 of 163
  • Biochemistry 1.4k
  • Hematology 989
  • Management of Technology and Innovation 478
  • Physiology 1.6k
  • Critical Care and Intensive Care Medicine 291
Replace Rienk Nieuwland with:
Rienk Nieuwland Netherlands
Fern Tablin United States
Dana V. Devine Canada
Jean‐Pierre Cazenave France
H.T. Meryman United States
Harold T. Meryman United States
Brian S. Bull United States
Dayong Gao United States
Scott L. Diamond United States
Patrick J. O’Hara United States
Jason P. Acker relative to Rienk Nieuwland Netherlands Rienk Nieuwland's profile →
Citations per field
00.5×5.8×
Rienk Nieuwland · 1×
Citations per year

Countries citing papers authored by Jason P. Acker

Since Specialization
Citations

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

Fields of papers citing papers by Jason P. Acker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason P. Acker. 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 Jason P. Acker. The network helps show where Jason P. Acker may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 20240
5 20247
6 20247
7 202310
8 20230
9 20222
10 20221
11 20223
12 202067
13 20202
14 20196
15 20167
16 201113
17 200814
18 200715
19 200633
20 200253

About Jason P. Acker

Jason P. Acker is a scholar working on Biochemistry, Hematology, Physiology, Management of Technology and Innovation and Critical Care and Intensive Care Medicine, having authored 233 papers that have together received 5.3k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (100 papers), Blood transfusion and management (84 papers), Blood groups and transfusion (55 papers), Blood donation and transfusion practices (27 papers), Blood properties and coagulation (26 papers), Hemoglobinopathies and Related Disorders (23 papers), Neonatal Health and Biochemistry (15 papers) and Reproductive Biology and Fertility (15 papers). The work is most often cited by research in Biochemistry (1.4k citations), Hematology (989 citations), Management of Technology and Innovation (478 citations), Physiology (1.6k citations) and Critical Care and Intensive Care Medicine (291 citations). Jason P. Acker has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Jelena L. Holovati, Locksley E. McGann, Tamir Kanias, Tracey R. Turner, Ruqayyah J. Almizraq, Mehmet Toner, Adele Hansen, Janet A.W. Elliott, Jayme Kurach and Robert N. Ben. Their work appears in journals such as Cryobiology, Transfusion, Vox Sanguinis, Clinica Chimica Acta and Scientific Reports.

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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