Paul M. Ness

18.6k total citations · 3 hit papers
312 papers, 11.8k citations indexed

About

Paul M. Ness is a scholar working on Hematology, Biochemistry and Management of Technology and Innovation. According to data from OpenAlex, Paul M. Ness has authored 312 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Hematology, 135 papers in Biochemistry and 91 papers in Management of Technology and Innovation. Recurrent topics in Paul M. Ness's work include Blood transfusion and management (135 papers), Blood groups and transfusion (110 papers) and Blood donation and transfusion practices (91 papers). Paul M. Ness is often cited by papers focused on Blood transfusion and management (135 papers), Blood groups and transfusion (110 papers) and Blood donation and transfusion practices (91 papers). Paul M. Ness collaborates with scholars based in United States, China and Canada. Paul M. Ness's co-authors include Karen E. King, Aaron A.R. Tobian, Thomas S. Kickler, R. Sue Shirey, Hayden G. Braine, Steven M. Frank, William R. Bell, Joan Gibble, Darrell J. Triulzi and Kenrad E. Nelson and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Paul M. Ness

309 papers receiving 11.2k citations

Hit Papers

Improved Survival in Thro... 1991 2026 2002 2014 1991 1992 1996 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paul M. Ness 4.3k 4.1k 2.5k 1.9k 1.9k 312 11.8k
Steven Kleinman 3.6k 0.8× 2.6k 0.6× 3.6k 1.4× 1.4k 0.7× 4.5k 2.4× 202 14.1k
Michael Murphy 4.0k 0.9× 3.8k 0.9× 1.8k 0.7× 2.2k 1.1× 1.2k 0.7× 436 14.7k
Sunny Dzik 2.4k 0.6× 2.4k 0.6× 1.1k 0.4× 1.5k 0.8× 887 0.5× 259 7.5k
Lawrence T. Goodnough 8.6k 2.0× 9.0k 2.2× 2.9k 1.1× 4.6k 2.4× 1.2k 0.6× 305 20.6k
Harvey G. Klein 2.0k 0.5× 2.5k 0.6× 952 0.4× 767 0.4× 821 0.4× 189 7.9k
Mark E. Brecher 2.7k 0.6× 1.8k 0.4× 1.2k 0.5× 981 0.5× 709 0.4× 132 5.4k
Christopher D. Hillyer 1.7k 0.4× 2.4k 0.6× 1.4k 0.5× 871 0.4× 852 0.4× 212 7.0k
Beth H. Shaz 1.2k 0.3× 1.8k 0.4× 1.3k 0.5× 1.2k 0.6× 722 0.4× 175 6.8k
Aaron A.R. Tobian 1.7k 0.4× 1.3k 0.3× 887 0.3× 742 0.4× 2.0k 1.1× 302 9.6k
James P. AuBuchon 2.8k 0.7× 1.9k 0.5× 1.5k 0.6× 861 0.4× 688 0.4× 129 5.0k

Countries citing papers authored by Paul M. Ness

Since Specialization
Citations

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

Fields of papers citing papers by Paul M. Ness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul M. Ness

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

All Works

20 of 20 papers shown
1.
Koepsell, Scott A., Moritz Stolla, Rebecca L. Sedjo, et al.. (2024). Results of clinical effectiveness of conventional versus Mirasol‐treated Apheresis Platelets in Patients with Hypoproliferative Thrombocytopenia (MiPLATE) trial. Transfusion. 64(3). 457–465. 5 indexed citations
2.
Bougie, Daniel W., Sarah E. Reese, Rebecca Birch, et al.. (2023). Associations between ABO non‐identical platelet transfusions and patient outcomes—A multicenter retrospective analysis. Transfusion. 63(5). 960–972. 9 indexed citations
3.
Carson, Jeffrey L., Yu Liu, Paul M. Ness, et al.. (2019). Blood utilization in five Chinese hospitals shows low hemoglobin thresholds in medical patients. Transfusion. 59(9). 2820–2826. 1 indexed citations
4.
Kacker, Seema, Evan M. Bloch, Paul M. Ness, et al.. (2019). Financial impact of alternative approaches to reduce bacterial contamination of platelet transfusions. Transfusion. 59(4). 1291–1299. 17 indexed citations
5.
Shi, Ling, Yu Liu, Jingxing Wang, et al.. (2019). HIV prevalence and incidence estimates among blood donors in five regions in China. Transfusion. 60(1). 117–125. 8 indexed citations
6.
Mladinov, Domagoj, Enika Nagababu, Daniel Berkowitz, et al.. (2019). Effect of incubation with crystalloid solutions or medications on packed red blood cells. Transfusion. 59(8). 2643–2651. 1 indexed citations
7.
Ness, Paul M., et al.. (2017). The editorialists reply. Oxford University Research Archive (ORA) (University of Oxford). 376(11). 1093–1094. 5 indexed citations
8.
Gottschall, Jerry, Yanyun Wu, Darrell J. Triulzi, et al.. (2017). The Epidemiology of Platelet Transfusions: An Analysis of Platelet Use at 12 U.S. Hospitals. Blood. 130. 2405–2405. 16 indexed citations
9.
Frank, Steven M., Rajiv N. Thakkar, Leo Rotello, et al.. (2017). Implementing a Health System–wide Patient Blood Management Program with a Clinical Community Approach. Anesthesiology. 127(5). 754–764. 55 indexed citations
10.
Kuter, David J., Barbara A. Konkle, Taye H. Hamza, et al.. (2017). Clinical outcomes in a cohort of patients with heparin‐induced thrombocytopenia. American Journal of Hematology. 92(8). 730–738. 45 indexed citations
11.
Goel, Ruchika, Paul M. Ness, Clifford M. Takemoto, et al.. (2015). Platelet transfusions in platelet consumptive disorders are associated with arterial thrombosis and in-hospital mortality. Blood. 125(9). 1470–1476. 154 indexed citations
13.
Goel, Ruchika, Paul M. Ness, Clifford M. Takemoto, Karen E. King, & Aaron A.R. Tobian. (2014). Risk-Predictors of Mortality in Hospitalized Patients with Thrombotic Thrombocytopenic Purpura: Nationally Representative Data from 2007-2011. Blood. 124(21). 4290–4290. 1 indexed citations
14.
Guo, Nan, Jingxing Wang, Qilu Yu, et al.. (2013). Long‐term return behavior of Chinese whole blood donors. Transfusion. 53(9). 1985–1991. 7 indexed citations
15.
Tobian, Aaron A.R., Alice K. Fuller, Daniel J. Tisch, et al.. (2013). The impact of platelet additive solution apheresis platelets on allergic transfusion reactions and corrected count increment (CME). Transfusion. 54(6). 1523–1529. 71 indexed citations
16.
Triulzi, Darrell J., Susan F. Assmann, Ronald G. Strauss, et al.. (2012). The impact of platelet transfusion characteristics on posttransfusion platelet increments and clinical bleeding in patients with hypoproliferative thrombocytopenia. Blood. 119(23). 5553–5562. 94 indexed citations
17.
Guo, Nan, Paul M. Ness, Xiao‐Ping Dong, et al.. (2011). First‐time donors responding to a national disaster may be an untapped resource for the blood centre. Vox Sanguinis. 102(4). 338–344. 18 indexed citations
18.
Liu, Jing, Yi Huang, Jingxing Wang, et al.. (2010). Impact of the May 12, 2008, earthquake on blood donations across five Chinese blood centers. Transfusion. 50(9). 1972–1979. 17 indexed citations
20.
King, Karen E. & Paul M. Ness. (2005). Treatment of Autoimmune Hemolytic Anemia. Seminars in Hematology. 42(3). 131–136. 63 indexed citations

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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