Lisa M. Barton

1.8k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Lisa M. Barton is a scholar working on Infectious Diseases, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lisa M. Barton has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Neurology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lisa M. Barton's work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Long-Term Effects of COVID-19 (3 papers). Lisa M. Barton is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Long-Term Effects of COVID-19 (3 papers). Lisa M. Barton collaborates with scholars based in United States, Switzerland and Germany. Lisa M. Barton's co-authors include Eric J. Duval, Sanjay Mukhopadhyay, Edana Stroberg, Subha Ghosh, Mohamad Raad, Nour Chams, Sana Chams, Inaya Hajj Hussein, Ali Shams and Sambit K. Mohanty and has published in prestigious journals such as Journal of Virology, American Journal of Clinical Pathology and Laboratory Investigation.

In The Last Decade

Lisa M. Barton

8 papers receiving 997 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

COVID-19 Autopsies, Oklahoma, USA

2020 602 citations Lisa M. Barton, Eric J. Duval et al. American Journal of Clinical Pathology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa M. Barton United States	6	690	334	192	122	119	8	1.0k
Edana Stroberg United States	8	690 1.0×	395 1.2×	198 1.0×	124 1.0×	129 1.1×	13	1.1k
Eric J. Duval United States	7	690 1.0×	334 1.0×	196 1.0×	126 1.0×	144 1.2×	10	1.1k
Jasmin D. Haslbauer Switzerland	11	918 1.3×	491 1.5×	273 1.4×	136 1.1×	171 1.4×	24	1.3k
Guqin Zhang China	13	961 1.4×	341 1.0×	226 1.2×	100 0.8×	158 1.3×	27	1.4k
Xinsheng Yan China	3	723 1.0×	352 1.1×	217 1.1×	54 0.4×	73 0.6×	8	882
Paul Chui Singapore	9	625 0.9×	230 0.7×	135 0.7×	58 0.5×	105 0.9×	15	878
Luca Carsana Italy	15	985 1.4×	484 1.4×	271 1.4×	91 0.7×	287 2.4×	23	1.6k
Jia Feng China	7	656 1.0×	325 1.0×	161 0.8×	31 0.3×	68 0.6×	13	859

Countries citing papers authored by Lisa M. Barton

Since Specialization

Citations

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

Fields of papers citing papers by Lisa M. Barton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa M. Barton

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Barton. A scholar is included among the top collaborators of Lisa M. Barton 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 M. Barton. Lisa M. Barton 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

1.

Undi, Ram Babu, Jason L. Larabee, Adrian Filiberti, et al.. (2022). Targeting Doublecortin-Like Kinase 1 (DCLK1)-Regulated SARS-CoV-2 Pathogenesis in COVID-19. Journal of Virology. 96(17). e0096722–e0096722. 5 indexed citations

2.

Rakheja, Dinesh, Charles F. Timmons, Sara Miller, et al.. (2021). SARS-CoV-2 Immunohistochemistry In Placenta. International Journal of Surgical Pathology. 30(4). 393–396. 6 indexed citations

3.

Joseph, Chitra, Alison E. John, Louise Organ, et al.. (2021). S31 The novel coronavirus SARS-CoV-2 binds RGD integrins and upregulates avb3 integrins in Covid-19 infected lungs. 9 indexed citations

4.

Corredor, Germán, Paula Toro, Kaustav Bera, et al.. (2021). Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings. Journal of Medical Imaging. 8(S1). 17501–17501. 3 indexed citations

5.

Stroberg, Edana, Lisa M. Barton, Eric J. Duval, et al.. (2020). Detection of SARS-CoV-2 in formalin-fixed paraffin-embedded tissue sections using commercially available reagents. Laboratory Investigation. 100(11). 1485–1489. 68 indexed citations

6.

Chams, Nour, Sana Chams, Ali Shams, et al.. (2020). COVID-19: A Multidisciplinary Review. Frontiers in Public Health. 8. 383–383. 206 indexed citations

7.

Mohanty, Sambit K., Sanjay Mukhopadhyay, Shivani Sharma, et al.. (2020). Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and coronavirus disease 19 (COVID-19) – anatomic pathology perspective on current knowledge. Diagnostic Pathology. 15(1). 103–103. 119 indexed citations

8.

Barton, Lisa M., Eric J. Duval, Edana Stroberg, Subha Ghosh, & Sanjay Mukhopadhyay. (2020). COVID-19 Autopsies, Oklahoma, USA. American Journal of Clinical Pathology. 153(6). 725–733. 602 indexed citations breakdown →

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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