Kimberly A. Thomas

1.6k total citations
55 papers, 1.1k citations indexed

About

Kimberly A. Thomas is a scholar working on Hematology, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Kimberly A. Thomas has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 13 papers in Surgery and 13 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Kimberly A. Thomas's work include Trauma, Hemostasis, Coagulopathy, Resuscitation (13 papers), Blood transfusion and management (12 papers) and Platelet Disorders and Treatments (10 papers). Kimberly A. Thomas is often cited by papers focused on Trauma, Hemostasis, Coagulopathy, Resuscitation (13 papers), Blood transfusion and management (12 papers) and Platelet Disorders and Treatments (10 papers). Kimberly A. Thomas collaborates with scholars based in United States, Netherlands and France. Kimberly A. Thomas's co-authors include Elaine F. Reed, Miguel A. Goñi, Nicole M. Valenzuela, Philip C. Spinella, Susan M. Shea, Cerottini Jc, Grant V. Bochicchio, Amanda M. Staudt, R. Glenn King and Louis B. Justement and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Kimberly A. Thomas

48 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kimberly A. Thomas United States 18 282 247 234 216 159 55 1.1k
Brian R. Curtis United States 20 506 1.8× 25 0.1× 210 0.9× 54 0.3× 92 0.6× 34 1.5k
Jessica Reese United States 17 144 0.5× 109 0.4× 663 2.8× 12 0.1× 38 0.2× 48 1.4k
Victor M. Zaydfudim United States 26 1.3k 4.7× 48 0.2× 37 0.2× 229 1.1× 63 0.4× 93 2.4k
R. Higgins United Kingdom 18 139 0.5× 239 1.0× 129 0.6× 9 0.0× 5 0.0× 45 1.0k
Robert A. Montgomery United States 17 976 3.5× 754 3.1× 248 1.1× 8 0.0× 12 0.1× 53 2.5k
Richard W. Carson United States 11 178 0.6× 370 1.5× 41 0.2× 10 0.0× 97 0.6× 14 848
Jorge A. Rios United States 14 52 0.2× 67 0.3× 49 0.2× 91 0.4× 307 1.9× 25 1.4k
Anup Singh United States 20 234 0.8× 206 0.8× 80 0.3× 63 0.3× 2 0.0× 54 929
J. Marsh United States 20 772 2.7× 189 0.8× 53 0.2× 19 0.1× 36 0.2× 37 1.3k
J. J. Walshe Ireland 16 175 0.6× 230 0.9× 83 0.4× 9 0.0× 3 0.0× 40 852

Countries citing papers authored by Kimberly A. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly A. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly A. Thomas. 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 Kimberly A. Thomas. The network helps show where Kimberly A. Thomas may publish in the future.

Co-authorship network of co-authors of Kimberly A. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly A. Thomas. A scholar is included among the top collaborators of Kimberly A. Thomas 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 Kimberly A. Thomas. Kimberly A. Thomas 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.
Shea, Susan M., Philip C. Spinella, & Kimberly A. Thomas. (2025). Leveraging the Multifaceted Platelet Storage Lesion to Advance Precision Platelet Transfusion Medicine. Anesthesiology. 144(3). 692–710.
2.
Thomas, Kimberly A., et al.. (2025). Platelet recruitment kinetics are impacted by von Willebrand factor quality in hemostatic adjuncts. PubMed. 2(3). 100076–100076. 1 indexed citations
3.
Chitrakar, Alisha, et al.. (2024). Stored platelet hemostatic phenotype and function is not altered when donors are on testosterone replacement therapy. Transfusion. 64(8). 1520–1532. 1 indexed citations
4.
Thomas, Kimberly A., Kelly Bochicchio, Matthew D. Neal, et al.. (2024). Trauma patients have reduced ex vivo flow-dependent platelet hemostatic capacity in a microfluidic model of vessel injury. PLoS ONE. 19(7). e0304231–e0304231. 3 indexed citations
5.
Shea, Susan M., Emily Mihalko, Kimberly A. Thomas, et al.. (2023). Doing more with less: low-titer group O whole blood resulted in less total transfusions and an independent association with survival in adults with severe traumatic hemorrhage. Journal of Thrombosis and Haemostasis. 22(1). 140–151. 22 indexed citations
6.
Shea, Susan M., Julie A. Reisz, Emily Mihalko, et al.. (2023). Cold-stored platelet hemostatic capacity is maintained for three weeks of storage and associated with taurine metabolism. Journal of Thrombosis and Haemostasis. 22(4). 1154–1166. 12 indexed citations
7.
Ahmed, Mushtaq, Shyamala Thirunavukkarasu, Bruce A. Rosa, et al.. (2020). Immune correlates of tuberculosis disease and risk translate across species. Science Translational Medicine. 12(528). 45 indexed citations
8.
9.
Valenzuela, Nicole M., et al.. (2017). Not All Antibodies Are Created Equal: Factors That Influence Antibody Mediated Rejection. Journal of Immunology Research. 2017. 1–9. 39 indexed citations
10.
Thomas, Kimberly A., et al.. (2017). From Grace to Grids: Rethinking Due Process Protection for Parole. The Journal of Criminal Law and Criminology (1973-). 107(2). 213–252. 4 indexed citations
11.
Roux, Antoine, Kimberly A. Thomas, C. Picard, et al.. (2017). Characteristics of Donor-Specific Antibodies Associated With Antibody-Mediated Rejection in Lung Transplantation. Frontiers in Medicine. 4. 155–155. 30 indexed citations
12.
Roux, Antoine, Kimberly A. Thomas, A. Hamid, et al.. (2016). Antibody-Mediated Rejection in Lung Transplantation: Clinical Outcomes and Donor-Specific Antibody Characteristics. American Journal of Transplantation. 16(4). 1216–1228. 97 indexed citations
13.
Thomas, Kimberly A., Nicole M. Valenzuela, & Elaine F. Reed. (2015). The perfect storm: HLA antibodies, complement, FcγRs, and endothelium in transplant rejection. Trends in Molecular Medicine. 21(5). 319–329. 94 indexed citations
14.
Lan, James H., et al.. (2014). Impact of three Illumina library construction methods on GC bias and HLA genotype calling. Human Immunology. 76(2-3). 166–175. 50 indexed citations
15.
Thomas, Kimberly A.. (2013). Interpersonal Power in the Criminal System. eYLS (Yale Law School). 50(1). 247. 2 indexed citations
16.
Thomas, Kimberly A., et al.. (2011). Growth Index: A Powerful Tool for School Improvement.. Leadership. 40(3). 18–21. 1 indexed citations
17.
Thomas, Kimberly A.. (2007). Beyond Mitigation: Towards a Theory of Allocution. Fordham law review. 75(5). 2641. 4 indexed citations
18.
Thomas, Kimberly A., William B. Euler, E. E. Crisman, & Otto J. Gregory. (2000). Temperature insensitive smart optical strain sensor. Journal of Media Literacy Education. 3988. 429.
19.
Gregory, Otto J., et al.. (1999). Smart optical waveguide sensors for cumulative damage assessment. Journal of Media Literacy Education. 3671. 100.
20.
Thomas, Kimberly A., et al.. (1975). Generation of cytotoxic T lymphocytes in vitro. V. Response of normal and immune spleen cells to subcellular alloantigens.. PubMed. 115(2). 356–60. 74 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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