Lisa Neumeier

673 total citations
17 papers, 520 citations indexed

About

Lisa Neumeier is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Lisa Neumeier has authored 17 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Hematology. Recurrent topics in Lisa Neumeier's work include Hematopoietic Stem Cell Transplantation (5 papers), Immune Cell Function and Interaction (5 papers) and Renal Transplantation Outcomes and Treatments (4 papers). Lisa Neumeier is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Immune Cell Function and Interaction (5 papers) and Renal Transplantation Outcomes and Treatments (4 papers). Lisa Neumeier collaborates with scholars based in United States, Japan and Netherlands. Lisa Neumeier's co-authors include Laura Conforti, Alexandra H. Filipovich, Susan Molleran Lee, Péter Szigligeti, Ameet A. Chimote, Yeoheung Yun, Koichi Takimoto, Parinda A. Mehta, Rebecca Marsh and Daniel C. Devor and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Lisa Neumeier

16 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Neumeier United States 13 212 185 97 82 61 17 520
Victor Babich United States 15 484 2.3× 103 0.6× 14 0.1× 123 1.5× 33 0.5× 29 766
Laura L. Wootton United Kingdom 10 391 1.8× 40 0.2× 83 0.9× 11 0.1× 118 1.9× 10 602
Ozaki Yukio Japan 11 188 0.9× 50 0.3× 22 0.2× 108 1.3× 34 0.6× 19 436
Isabelle Arnould United States 10 331 1.6× 49 0.3× 31 0.3× 17 0.2× 35 0.6× 11 652
Zen-ichiro Honda Japan 9 268 1.3× 114 0.6× 10 0.1× 32 0.4× 77 1.3× 10 505
Kirstine Juhl United States 13 406 1.9× 150 0.8× 10 0.1× 21 0.3× 53 0.9× 17 1.4k
Hélène Lallet-Daher France 7 307 1.4× 46 0.2× 49 0.5× 5 0.1× 41 0.7× 7 451
Mildred Lam United States 9 507 2.4× 103 0.6× 13 0.1× 11 0.1× 92 1.5× 12 772
Aleksander Baldys United States 14 336 1.6× 43 0.2× 19 0.2× 7 0.1× 60 1.0× 17 534
H S Banga United States 7 311 1.5× 42 0.2× 9 0.1× 186 2.3× 53 0.9× 8 558

Countries citing papers authored by Lisa Neumeier

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Neumeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Neumeier. 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 Lisa Neumeier. The network helps show where Lisa Neumeier may publish in the future.

Co-authorship network of co-authors of Lisa Neumeier

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

All Works

17 of 17 papers shown
1.
Arnold, Danielle E., Chie Emoto, Tsuyoshi Fukuda, et al.. (2021). A prospective pilot study of a novel alemtuzumab target concentration intervention strategy. Bone Marrow Transplantation. 56(12). 3029–3031. 6 indexed citations
2.
Arnold, Danielle E., Chie Emoto, Tsuyoshi Fukuda, et al.. (2020). Alemtuzumab Precision Dosing in Allogeneic Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 26(3). S150–S150.
3.
Marsh, Rebecca, Tsuyoshi Fukuda, Chie Emoto, et al.. (2017). Pretransplant Absolute Lymphocyte Counts Impact the Pharmacokinetics of Alemtuzumab. Biology of Blood and Marrow Transplantation. 23(4). 635–641. 21 indexed citations
5.
Marsh, Rebecca, Lisa Neumeier, Parinda A. Mehta, et al.. (2016). Peri-Transplant Alemtuzumab Levels IMPACT ACUTE Gvhd, MIXED Chimerism, and Lymphocyte Recovery Following Reduced Intensity Conditioning with Alemtuzumab, Fludarabine, and Melphalan. Biology of Blood and Marrow Transplantation. 22(3). S337–S337. 1 indexed citations
6.
Khandelwal, Pooja, Chie Emoto, Tsuyoshi Fukuda, et al.. (2016). A Prospective Study of Alemtuzumab as a Second-Line Agent for Steroid-Refractory Acute Graft-versus-Host Disease in Pediatric and Young Adult Allogeneic Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 22(12). 2220–2225. 18 indexed citations
7.
Marsh, Rebecca, Adam Lane, Parinda A. Mehta, et al.. (2015). Alemtuzumab levels impact acute GVHD, mixed chimerism, and lymphocyte recovery following alemtuzumab, fludarabine, and melphalan RIC HCT. Blood. 127(4). 503–512. 53 indexed citations
8.
Yun, Yeoheung, et al.. (2012). KCa3.1 and TRPM7 Channels at the Uropod Regulate Migration of Activated Human T Cells. PLoS ONE. 7(8). e43859–e43859. 74 indexed citations
9.
Gordon, Scott M., et al.. (2012). Modulation of KV1.3 channels by protein kinase A I in T lymphocytes is mediated by the disc large 1-tyrosine kinase Lck complex. American Journal of Physiology-Cell Physiology. 302(10). C1504–C1512. 20 indexed citations
10.
Neumeier, Lisa, Koichi Takimoto, Susan Molleran Lee, et al.. (2009). Differential calcium signaling and Kv1.3 trafficking to the immunological synapse in systemic lupus erythematosus. Cell Calcium. 47(1). 19–28. 32 indexed citations
11.
Neumeier, Lisa, et al.. (2009). Localization of Kv1.3 Channels in the Immunological Synapse Modulates the Calcium Response to Antigen Stimulation in T Lymphocytes. The Journal of Immunology. 183(10). 6296–6302. 42 indexed citations
12.
Szigligeti, Péter, Lisa Neumeier, Susan Molleran Lee, et al.. (2007). Altered Dynamics of Kv1.3 Channel Compartmentalization in the Immunological Synapse in Systemic Lupus Erythematosus. The Journal of Immunology. 179(1). 346–356. 50 indexed citations
13.
Neumeier, Lisa, et al.. (2006). The Ca2+-activated K+ channel KCa3.1 compartmentalizes in the immunological synapse of human T lymphocytes. American Journal of Physiology-Cell Physiology. 292(4). C1431–C1439. 55 indexed citations
14.
Szigligeti, Péter, Lisa Neumeier, Eugene L. Duke, et al.. (2006). Signalling during hypoxia in human T lymphocytes – critical role of the src protein tyrosine kinase p56Lck in the O2 sensitivity of Kv1.3 channels. The Journal of Physiology. 573(2). 357–370. 38 indexed citations
15.
Li, Hong C., et al.. (2006). Identification of a novel signal in the cytoplasmic tail of the Na+:HCO3cotransporter NBC1 that mediates basolateral targeting. American Journal of Physiology-Renal Physiology. 292(4). F1245–F1255. 13 indexed citations
16.
Robbins, Jennifer, Susan Molleran Lee, Alexandra H. Filipovich, et al.. (2005). Hypoxia modulates early events in T cell receptor‐mediated activation in human T lymphocytes via Kv1.3 channels. The Journal of Physiology. 564(1). 131–143. 58 indexed citations
17.
Li, Hong C., Roger T. Worrell, Jeffrey B. Matthews, et al.. (2004). Identification of a Carboxyl-terminal Motif Essential for the Targeting of Na+-HCO3- Cotransporter NBC1 to the Basolateral Membrane. Journal of Biological Chemistry. 279(41). 43190–43197. 36 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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