Linda D. Barber

2.9k total citations
42 papers, 1.4k citations indexed

About

Linda D. Barber is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Linda D. Barber has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 13 papers in Hematology and 6 papers in Oncology. Recurrent topics in Linda D. Barber's work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (18 papers) and Immunotherapy and Immune Responses (15 papers). Linda D. Barber is often cited by papers focused on T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (18 papers) and Immunotherapy and Immune Responses (15 papers). Linda D. Barber collaborates with scholars based in United Kingdom, United States and Italy. Linda D. Barber's co-authors include Peter Parham, Giovanna Lombardi, Ghulam J. Mufti, Wendy Ingram, Farzin Farzaneh, Shahram Kordasti, Janet Hayden, Behdad Afzali, David Darling and Niwa Ali and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Linda D. Barber

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda D. Barber United Kingdom 21 803 493 223 200 139 42 1.4k
Dawn Jones United States 17 744 0.9× 758 1.5× 191 0.9× 148 0.7× 109 0.8× 28 1.4k
Kohei Nagasawa Japan 24 891 1.1× 327 0.7× 163 0.7× 390 1.9× 111 0.8× 86 1.7k
Ronit Elhasid Israel 22 507 0.6× 406 0.8× 250 1.1× 437 2.2× 161 1.2× 113 1.8k
Koichi Kashiwase Japan 28 1.4k 1.8× 1.0k 2.1× 225 1.0× 284 1.4× 93 0.7× 71 2.2k
Lawrence Jung United States 17 701 0.9× 235 0.5× 126 0.6× 249 1.2× 64 0.5× 49 1.3k
Daphna Paran Israel 25 791 1.0× 412 0.8× 156 0.7× 187 0.9× 88 0.6× 76 2.1k
Vincent Barlogis France 21 559 0.7× 362 0.7× 181 0.8× 146 0.7× 127 0.9× 53 1.3k
Daniel B. Magilavy United States 19 513 0.6× 289 0.6× 143 0.6× 325 1.6× 214 1.5× 37 1.4k
CL Verweij Netherlands 14 507 0.6× 401 0.8× 68 0.3× 171 0.9× 101 0.7× 26 1.4k
Siegfried Köhler Germany 20 856 1.1× 153 0.3× 191 0.9× 170 0.8× 75 0.5× 35 1.7k

Countries citing papers authored by Linda D. Barber

Since Specialization
Citations

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

Fields of papers citing papers by Linda D. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda D. Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Linda D. Barber. A scholar is included among the top collaborators of Linda D. Barber 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 Linda D. Barber. Linda D. Barber 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.
Grimaldi, Francesco, Linda D. Barber, Victoria Potter, et al.. (2014). King’s College Hospital FCC Conditioning for Severe Aplastic Anemia Induces Tolerance with Mixed T-Cell Chimerism and Extremely Low Incidence of Gvhd. Blood. 124(21). 1594–1594. 1 indexed citations
2.
Potter, Victoria, Pramila Krishnamurthy, Linda D. Barber, et al.. (2013). Long-Term Outcomes of Alemtuzumab-Based Reduced-Intensity Conditioned Hematopoietic Stem Cell Transplantation for Myelodysplastic Syndrome and Acute Myelogenous Leukemia Secondary to Myelodysplastic Syndrome. Biology of Blood and Marrow Transplantation. 20(1). 111–117. 18 indexed citations
3.
Krishnamurthy, Pramila, Victoria Potter, Linda D. Barber, et al.. (2012). Outcome of Donor Lymphocyte Infusion after T Cell–depleted Allogeneic Hematopoietic Stem Cell Transplantation for Acute Myelogenous Leukemia and Myelodysplastic Syndromes. Biology of Blood and Marrow Transplantation. 19(4). 562–568. 62 indexed citations
4.
Ali, Niwa, Barry Flutter, Robert Sanchez Rodriguez, et al.. (2012). Xenogeneic Graft-versus-Host-Disease in NOD-scid IL-2Rγnull Mice Display a T-Effector Memory Phenotype. PLoS ONE. 7(8). e44219–e44219. 142 indexed citations
6.
Kav, Sultan, Lisa Schulmeister, Anita Nirenberg, et al.. (2009). Development of the MASCC teaching tool for patients receiving oral agents for cancer. Supportive Care in Cancer. 18(5). 583–590. 42 indexed citations
7.
Ingram, Wendy, Lucas Chan, Hayrettin Guvén, et al.. (2009). Human CD80/IL2 lentivirus‐transduced acute myeloid leukaemia (AML) cells promote natural killer (NK) cell activation and cytolytic activity: implications for a phase I clinical study. British Journal of Haematology. 145(6). 749–760. 18 indexed citations
8.
Kordasti, Shahram, Behdad Afzali, ZiYi Lim, et al.. (2009). IL‐17‐producing CD4+T cells, pro‐inflammatory cytokines and apoptosis are increased in low risk myelodysplastic syndrome. British Journal of Haematology. 145(1). 64–72. 159 indexed citations
9.
Savage, Philip, Julian Dyson, Ben C. King, et al.. (2007). Immunotherapy with Antibody-Targeted HLA Class I Complexes: Results of in vivo Tumour Cell Killing and Therapeutic Vaccination. Tumor Biology. 28(4). 205–211. 4 indexed citations
10.
Oosten, Liesbeth E.M., Susan P. Jordan, Michel G.D. Kester, et al.. (2005). Investigation of Peptide Involvement in T Cell Allorecognition Using Recombinant HLA Class I Multimers. The Journal of Immunology. 175(3). 1706–1714. 24 indexed citations
11.
Wright, Melanie C., et al.. (2005). The use of high-fidelity human patient simulation as an evaluative tool in the development of clinical research protocols and procedures. Contemporary Clinical Trials. 26(6). 646–659. 20 indexed citations
12.
Barber, Linda D., et al.. (2004). DETECTION OF VIMENTIN-SPECIFIC AUTOREACTIVE CD8+ T CELLS IN CARDIAC TRANSPLANT PATIENTS. Transplantation. 77(10). 1604–1609. 46 indexed citations
13.
Parham, Peter, Kelly L. Arnett, Erin J. Adams, et al.. (1994). The HLA‐B73 antigen has a most unusual structure that defines a second lineage of HLA‐B alleles. Tissue Antigens. 43(5). 302–313. 48 indexed citations
14.
Little, Ann‐Margaret, John D. Domena, William H. Hildebrand, et al.. (1994). HLA‐B67: A member of the HLA‐B16 family that expresses the ME1 epitope. Tissue Antigens. 43(1). 38–43. 24 indexed citations
15.
Lechler, Robert I., et al.. (1992). Molecular mimicry by major histocompatibility complex molecules and peptides accounts for some alloresponses. Immunology Letters. 34(1). 63–69. 38 indexed citations
17.
Lombardi, Giovanna, Linda D. Barber, Sid Sidhu, J. R. Batchelor, & Robert I. Lechler. (1991). The specificity of alloreactive T cells is determined by MHC polymorphisms which contact the T cell receptor and which influence peptide binding. International Immunology. 3(8). 769–775. 27 indexed citations
18.
Barber, Linda D., et al.. (1988). Bipolar fixation of fractures of the distal end of the radius: a comparative study. Injury. 19(3). 145–148. 12 indexed citations
19.
Barber, Linda D., et al.. (1987). BIRTHDAYS. Journal of Psychosocial Nursing and Mental Health Services. 25(10). 8–9. 3 indexed citations
20.
Barber, Linda D., et al.. (1987). Melanin concentrating hormone inhibits the release of αMSH from teleost pituitary glands. General and Comparative Endocrinology. 65(1). 79–86. 49 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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