K. Haist

563 total citations
13 papers, 345 citations indexed

About

K. Haist is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, K. Haist has authored 13 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in K. Haist's work include Viral Infections and Vectors (4 papers), Viral Infections and Outbreaks Research (4 papers) and Mosquito-borne diseases and control (3 papers). K. Haist is often cited by papers focused on Viral Infections and Vectors (4 papers), Viral Infections and Outbreaks Research (4 papers) and Mosquito-borne diseases and control (3 papers). K. Haist collaborates with scholars based in United States, Germany and Canada. K. Haist's co-authors include Thomas E. Morrison, Bennett Davenport, A. Volk, K. Rett, E. Maerker, W. Renn, Matthias Koch, Hans‐Ulrich Häring, Kristina S. Burrack and Kevin J. Sokoloski and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

K. Haist

12 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Haist United States 9 136 102 92 87 77 13 345
Yaohui Bai United States 13 61 0.4× 77 0.8× 59 0.6× 30 0.3× 78 1.0× 16 359
Megha Basavappa United States 8 361 2.7× 92 0.9× 121 1.3× 28 0.3× 165 2.1× 9 551
April M. Shiflett United States 9 169 1.2× 26 0.3× 91 1.0× 115 1.3× 66 0.9× 9 473
Beverly Orillo United States 6 110 0.8× 217 2.1× 14 0.2× 224 2.6× 87 1.1× 7 431
Christie M. Loiacono United States 9 62 0.5× 122 1.2× 27 0.3× 68 0.8× 104 1.4× 10 344
Junkun Niu China 14 320 2.4× 113 1.1× 75 0.8× 29 0.3× 65 0.8× 32 526
Masao Satoh Japan 11 82 0.6× 16 0.2× 77 0.8× 34 0.4× 74 1.0× 25 340
Zahra Omidian United States 8 77 0.6× 62 0.6× 14 0.2× 48 0.6× 94 1.2× 15 386
Éden Ramalho Ferreira Brazil 13 116 0.9× 21 0.2× 26 0.3× 192 2.2× 47 0.6× 25 363
Maria C. Guimaro United States 7 86 0.6× 19 0.2× 79 0.9× 200 2.3× 38 0.5× 8 405

Countries citing papers authored by K. Haist

Since Specialization
Citations

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

Fields of papers citing papers by K. Haist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Haist

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

All Works

13 of 13 papers shown
1.
Gibbings, Sophie L., K. Haist, Elizabeth F. Redente, Peter M. Henson, & Donna L. Bratton. (2024). TNFα: TNFR1 signaling inhibits maturation and maintains the pro-inflammatory programming of monocyte-derived macrophages in murine chronic granulomatous disease. Frontiers in Immunology. 15. 1354836–1354836.
2.
Gibbings, Sophie L., K. Haist, S. Courtney Frasch, et al.. (2021). Heightened turnover and failed maturation of monocyte-derived macrophages in murine chronic granulomatous disease. Blood. 139(11). 1707–1721. 3 indexed citations
4.
Decker, Carolyn J., Laura L. Hoon‐Hanks, James H. Morrison, et al.. (2019). dsRNA-Seq: Identification of Viral Infection by Purifying and Sequencing dsRNA. Viruses. 11(10). 943–943. 18 indexed citations
5.
Davenport, Bennett, K. Haist, Mary K. McCarthy, et al.. (2019). Discrete viral E2 lysine residues and scavenger receptor MARCO are required for clearance of circulating alphaviruses. eLife. 8. 26 indexed citations
6.
Haist, K., Kristina S. Burrack, Bennett Davenport, & Thomas E. Morrison. (2017). Inflammatory monocytes mediate control of acute alphavirus infection in mice. PLoS Pathogens. 13(12). e1006748–e1006748. 56 indexed citations
7.
Eberlein, Jens, Bennett Davenport, Tom Nguyen, et al.. (2016). Aging promotes acquisition of naive-like CD8+ memory T cell traits and enhanced functionalities. Journal of Clinical Investigation. 126(10). 3942–3960. 18 indexed citations
9.
Sokoloski, Kevin J., K. Haist, Thomas E. Morrison, Suchetana Mukhopadhyay, & Richard W. Hardy. (2015). Noncapped Alphavirus Genomic RNAs and Their Role during Infection. Journal of Virology. 89(11). 6080–6092. 38 indexed citations
10.
Koch, Matthias, K. Rett, A. Volk, et al.. (2009). Amino acid polymorphism Gly 972 Arg in IRS-1 is not associated to lower clamp-derived insulin sensitivity in young healthy first degree relatives of patients with type 2 diabetes. Experimental and Clinical Endocrinology & Diabetes. 107(5). 318–322. 7 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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