Tracy Haldiman

1.1k total citations
18 papers, 607 citations indexed

About

Tracy Haldiman is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Tracy Haldiman has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Neurology. Recurrent topics in Tracy Haldiman's work include Prion Diseases and Protein Misfolding (15 papers), Alzheimer's disease research and treatments (7 papers) and Neurological diseases and metabolism (5 papers). Tracy Haldiman is often cited by papers focused on Prion Diseases and Protein Misfolding (15 papers), Alzheimer's disease research and treatments (7 papers) and Neurological diseases and metabolism (5 papers). Tracy Haldiman collaborates with scholars based in United States, Canada and United Kingdom. Tracy Haldiman's co-authors include Jiri Safar, Chae Kim, Mark L. Cohen, Yvonne Cohen, Janis Blevins, Qingzhong Kong, Thomas Wısnıewskı, Man‐Sun Sy, Glenn C. Telling and David Westaway and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Tracy Haldiman

16 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy Haldiman United States 12 502 261 237 119 46 18 607
Chae Kim United States 15 569 1.1× 288 1.1× 279 1.2× 138 1.2× 52 1.1× 23 698
Eva Birkmann Germany 14 443 0.9× 270 1.0× 173 0.7× 132 1.1× 62 1.3× 26 602
Mark A. Farrow United Kingdom 11 605 1.2× 415 1.6× 209 0.9× 148 1.2× 48 1.0× 17 772
Chantal Mourton-Gilles France 12 355 0.7× 250 1.0× 135 0.6× 87 0.7× 49 1.1× 16 523
Genevieve M Klug Australia 13 777 1.5× 276 1.1× 339 1.4× 193 1.6× 152 3.3× 33 973
Declan King United Kingdom 13 556 1.1× 232 0.9× 308 1.3× 184 1.5× 38 0.8× 20 719
P. E. Fraser Canada 6 368 0.7× 236 0.9× 154 0.6× 94 0.8× 91 2.0× 7 510
Andrew Dickinson United Kingdom 7 996 2.0× 273 1.0× 587 2.5× 350 2.9× 76 1.7× 7 1.1k
M. Porro Italy 6 537 1.1× 171 0.7× 330 1.4× 230 1.9× 74 1.6× 9 589
Silvia Panico United Kingdom 7 394 0.8× 318 1.2× 160 0.7× 130 1.1× 20 0.4× 7 492

Countries citing papers authored by Tracy Haldiman

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Haldiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracy Haldiman

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

All Works

18 of 18 papers shown
1.
2.
Hromádková, Lenka, Chae Kim, Tracy Haldiman, et al.. (2023). Evolving prion-like tau conformers differentially alter postsynaptic proteins in neurons inoculated with distinct isolates of Alzheimer’s disease tau. Cell & Bioscience. 13(1). 174–174. 2 indexed citations
3.
Kim, Chae, Tracy Haldiman, Lenka Hromádková, et al.. (2022). Distinct populations of highly potent TAU seed conformers in rapidly progressing Alzheimer’s disease. Science Translational Medicine. 14(626). eabg0253–eabg0253. 33 indexed citations
4.
Kim, Chae, Tracy Haldiman, Christina J. Sigurdson, et al.. (2021). Distinct conformers of amyloid beta accumulate in the neocortex of patients with rapidly progressive Alzheimer's disease. Journal of Biological Chemistry. 297(5). 101267–101267. 25 indexed citations
5.
Daude, Nathalie, Chae Kim, Ghazaleh Eskandari‐Sedighi, et al.. (2021). Correction to: Diverse, evolving conformer populations drive distinct phenotypes in frontotemporal lobar degeneration caused by the same MAPT‑P301L mutation. Acta Neuropathologica. 141(3). 467–468.
6.
Siddiqi, Mohammad Khursheed, Chae Kim, Tracy Haldiman, et al.. (2021). Structurally distinct external solvent-exposed domains drive replication of major human prions. PLoS Pathogens. 17(6). e1009642–e1009642. 7 indexed citations
7.
Velásquez, Camilo Duque, Chae Kim, Tracy Haldiman, et al.. (2020). Chronic wasting disease (CWD) prion strains evolve via adaptive diversification of conformers in hosts expressing prion protein polymorphisms. Journal of Biological Chemistry. 295(15). 4985–5001. 28 indexed citations
8.
Daude, Nathalie, Chae Kim, Ghazaleh Eskandari‐Sedighi, et al.. (2020). Diverse, evolving conformer populations drive distinct phenotypes in frontotemporal lobar degeneration caused by the same MAPT-P301L mutation. Acta Neuropathologica. 139(6). 1045–1070. 14 indexed citations
9.
Kim, Chae, Xiangzhu Xiao, Shugui Chen, et al.. (2018). Artificial strain of human prions created in vitro. Nature Communications. 9(1). 2166–2166. 31 indexed citations
10.
Drummond, Eleanor, Shruti Nayak, Arline Faustin, et al.. (2017). Proteomic differences in amyloid plaques in rapidly progressive and sporadic Alzheimer’s disease. Acta Neuropathologica. 133(6). 933–954. 156 indexed citations
11.
Drummond, Eleanor, Shruti Nayak, Arline Faustin, et al.. (2016). O5‐04‐02: Altered Protein Expression in Amyloid Plaques in Rapidly Progressive Alzheimer's Disease. Alzheimer s & Dementia. 12(7S_Part_8).
12.
Safar, Jiri, Xiangzhu Xiao, Shugui Chen, et al.. (2015). Structural Determinants of Phenotypic Diversity and Replication Rate of Human Prions. PLoS Pathogens. 11(4). e1004832–e1004832. 44 indexed citations
13.
Mays, Charles E., Jacques van der Merwe, Chae Kim, et al.. (2015). Prion Infectivity Plateaus and Conversion to Symptomatic Disease Originate from Falling Precursor Levels and Increased Levels of Oligomeric PrP Sc Species. Journal of Virology. 89(24). 12418–12426. 34 indexed citations
14.
Mays, Charles E., Chae Kim, Tracy Haldiman, et al.. (2014). Prion disease tempo determined by host-dependent substrate reduction. Journal of Clinical Investigation. 124(2). 847–858. 59 indexed citations
15.
Cohen, Mark L., Chae Kim, Tracy Haldiman, et al.. (2014). P4‐261: DISTINCT STRUCTURES OF B‐AMYLOID IN RAPIDLY PROGRESSIVE ALZHEIMER DISEASE. Alzheimer s & Dementia. 10(4S_Part_15). 1 indexed citations
16.
Haldiman, Tracy, Chae Kim, Yvonne Cohen, et al.. (2013). Co-existence of Distinct Prion Types Enables Conformational Evolution of Human PrPSc by Competitive Selection. Journal of Biological Chemistry. 288(41). 29846–29861. 41 indexed citations
17.
Kim, Chae, Tracy Haldiman, Krystyna Surewicz, et al.. (2012). Small Protease Sensitive Oligomers of PrPSc in Distinct Human Prions Determine Conversion Rate of PrPC. PLoS Pathogens. 8(8). e1002835–e1002835. 66 indexed citations
18.
Kim, Chae, Tracy Haldiman, Yvonne Cohen, et al.. (2011). Protease-Sensitive Conformers in Broad Spectrum of Distinct PrPSc Structures in Sporadic Creutzfeldt-Jakob Disease Are Indicator of Progression Rate. PLoS Pathogens. 7(9). e1002242–e1002242. 61 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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