Allison Weiss

3.1k total citations
8 papers, 706 citations indexed

About

Allison Weiss is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Allison Weiss has authored 8 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Oncology. Recurrent topics in Allison Weiss's work include Muscle Physiology and Disorders (4 papers), Cardiomyopathy and Myosin Studies (4 papers) and Congenital heart defects research (2 papers). Allison Weiss is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Cardiomyopathy and Myosin Studies (4 papers) and Congenital heart defects research (2 papers). Allison Weiss collaborates with scholars based in United States, Italy and Türkiye. Allison Weiss's co-authors include Leslie A. Leinwand, Stefano Schiaffino, Leslie Acakpo‐Satchivi, Kate Montgomery, Kenneth Krauter, Raju Kucherlapati, Jeff Carter, Derek Thirstrup, Nebojša Janjić and Geoffrey S. Baird and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Allison Weiss

8 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Allison Weiss United States	6	567	290	68	68	56	8	706
Josephine E. Joya Australia	15	605 1.1×	279 1.0×	152 2.2×	67 1.0×	60 1.1×	20	779
G. A. Danieli Italy	15	538 0.9×	328 1.1×	54 0.8×	85 1.3×	53 0.9×	37	804
Cécile Peccate France	15	560 1.0×	110 0.4×	73 1.1×	112 1.6×	49 0.9×	25	661
Maegen A. Ackermann United States	18	570 1.0×	477 1.6×	144 2.1×	19 0.3×	56 1.0×	25	792
Angela Lek United States	14	686 1.2×	108 0.4×	169 2.5×	70 1.0×	128 2.3×	24	813
Angela K. Peter United States	17	599 1.1×	361 1.2×	152 2.2×	31 0.5×	143 2.6×	27	839
Diane M. Eble United States	14	551 1.0×	423 1.5×	218 3.2×	32 0.5×	43 0.8×	19	878
Haruko Nakano United States	16	809 1.4×	216 0.7×	205 3.0×	107 1.6×	68 1.2×	34	1.1k
Kaari L. Linask United States	12	589 1.0×	67 0.2×	56 0.8×	115 1.7×	40 0.7×	22	708
Padmanabhan Vakeel United States	11	444 0.8×	235 0.8×	222 3.3×	39 0.6×	47 0.8×	12	659

Countries citing papers authored by Allison Weiss

Since Specialization

Citations

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

Fields of papers citing papers by Allison Weiss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Weiss

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

All Works

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8 of 8 papers shown

Kharofa, Jordan, David Haslam, Allison Weiss, et al.. (2023). Analysis of the fecal metagenome in long‐term survivors of pancreas cancer. Cancer. 129(13). 1986–1994. 14 indexed citations

Weiss, Allison, et al.. (2023). Isolated cerebral Mucormycosis and Aspergillosis coinfection in an immunocompromised adult. BMJ Case Reports. 16(8). e255909–e255909. 3 indexed citations

Tang, William W., H. Atakan Ekiz, Warren P. Voth, et al.. (2023). T cell expressed microRNA-155 promotes antitumor immunity and immune checkpoint blockade responses in colon cancer through repression of Ship1. The Journal of Immunology. 210(Supplement_1). 172.13–172.13. 1 indexed citations

Gupta, Shashi Kumar, Derek Thirstrup, Thale C. Jarvis, et al.. (2011). Rapid Histochemistry Using Slow Off-rate Modified Aptamers With Anionic Competition. Applied immunohistochemistry & molecular morphology. 19(3). 273–278. 41 indexed citations

Weiss, Allison, Stefano Schiaffino, & Leslie A. Leinwand. (1999). Comparative sequence analysis of the complete human sarcomeric myosin heavy chain family: implications for functional diversity 1 1Edited by J. Karn. Journal of Molecular Biology. 290(1). 61–75. 183 indexed citations

Weiss, Allison, Leslie Acakpo‐Satchivi, Kate Montgomery, et al.. (1999). Organization of human and mouse skeletal myosin heavy chain gene clusters is highly conserved. Proceedings of the National Academy of Sciences. 96(6). 2958–2963. 156 indexed citations

Vikstrom, Karen L., Regina Sohn, Mike Strauss, et al.. (1997). The Vertebrate Myosin Heavy Chain: Genetics and Assembly Properties.. Cell Structure and Function. 22(1). 123–129. 20 indexed citations

Weiss, Allison & Leslie A. Leinwand. (1996). THE MAMMALIAN MYOSIN HEAVY CHAIN GENE FAMILY. Annual Review of Cell and Developmental Biology. 12(1). 417–439. 288 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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