Michelle Stram

1.3k total citations · 1 hit paper
15 papers, 410 citations indexed

About

Michelle Stram is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Michelle Stram has authored 15 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Michelle Stram's work include Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Michelle Stram is often cited by papers focused on Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). Michelle Stram collaborates with scholars based in United States, Japan and Brazil. Michelle Stram's co-authors include Jansen N. Seheult, Rebecca D. Folkerth, Marco M. Hefti, Myoung Hwa Lee, Avindra Nath, Farinaz Safavi, Joel T. Moncur, Robert C. Jones, Dragan Maric and Iren Horkayne‐Szakaly and has published in prestigious journals such as Brain, The American Journal of Medicine and Journal of Clinical Microbiology.

In The Last Decade

Michelle Stram

15 papers receiving 401 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.

Neurovascular injury with complement activation and inflammation in COVID-19

2022 143 citations Myoung Hwa Lee, Daniel P. Perl et al. Brain profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Stram United States	11	114	95	91	64	58	15	410
Tobias Brix Germany	16	125 1.1×	71 0.7×	69 0.8×	33 0.5×	82 1.4×	57	605
Katarzyna Sklinda Poland	11	119 1.0×	108 1.1×	88 1.0×	24 0.4×	32 0.6×	44	422
Hirofumi Obinata Japan	8	93 0.8×	183 1.9×	41 0.5×	23 0.4×	32 0.6×	17	495
Boon Chuan Pang Singapore	10	328 2.9×	169 1.8×	103 1.1×	9 0.1×	20 0.3×	26	524
Mohammad Mehdi Banoei Canada	13	78 0.7×	75 0.8×	140 1.5×	36 0.6×	218 3.8×	31	506
Jonas Schulte-Schrepping Germany	7	130 1.1×	264 2.8×	80 0.9×	11 0.2×	183 3.2×	15	666
Jasmina Boban Serbia	13	54 0.5×	45 0.5×	70 0.8×	12 0.2×	30 0.5×	43	310
Maximilian Kittel Germany	12	40 0.4×	113 1.2×	86 0.9×	16 0.3×	98 1.7×	41	394
Rongpin Wang China	8	41 0.4×	148 1.6×	38 0.4×	9 0.1×	30 0.5×	39	394

Countries citing papers authored by Michelle Stram

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Stram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Stram

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

All Works

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15 of 15 papers shown

Kontorovich, Amy, Dawei Wang, Bo Zhou, et al.. (2024). Cardiac genetic test yields and genotype-phenotype correlations from large cohort investigated by medical examiner's office. Cardiovascular Pathology. 72. 107654–107654. 3 indexed citations

Seheult, Jansen N., Michelle Stram, Lydia Contis, et al.. (2023). Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity. Journal of Clinical Microbiology. 61(6). e0029123–e0029123. 8 indexed citations

Stram, Michelle, Alan C. Seifert, Etty Cortés, et al.. (2022). Neuropathology of Pediatric SARS-CoV-2 Infection in the Forensic Setting: Novel Application of Ex Vivo Imaging in Analysis of Brain Microvasculature. Frontiers in Neurology. 13. 894565–894565. 10 indexed citations

Lee, Myoung Hwa, Daniel P. Perl, Joseph Steiner, et al.. (2022). Neurovascular injury with complement activation and inflammation in COVID-19. Brain. 145(7). 2555–2568. 143 indexed citations breakdown →

Seheult, Jansen N., Michelle Stram, Thomas M. Pearce, et al.. (2021). The risk to future pregnancies of transfusing Rh(D)‐negative females of childbearing potential with Rh(D)‐positive red blood cells during trauma resuscitation is dependent on their age at transfusion. Vox Sanguinis. 116(7). 831–840. 32 indexed citations

Harrison, James H., John R. Gilbertson, Matthew G. Hanna, et al.. (2021). Introduction to Artificial Intelligence and Machine Learning for Pathology. Archives of Pathology & Laboratory Medicine. 145(10). 1228–1254. 45 indexed citations

Stram, Michelle, Jansen N. Seheult, John H. Sinard, et al.. (2019). A Survey of LOINC Code Selection Practices Among Participants of the College of American Pathologists Coagulation (CGL) and Cardiac Markers (CRT) Proficiency Testing Programs. Archives of Pathology & Laboratory Medicine. 144(5). 586–596. 14 indexed citations

Stram, Michelle, Douglas J. Hartman, Stanley M. Huff, et al.. (2019). Logical Observation Identifiers Names and Codes for Laboratorians. Archives of Pathology & Laboratory Medicine. 144(2). 229–239. 25 indexed citations

Seheult, Jansen N., Michelle Stram, Jason L. Sperry, et al.. (2018). In silico model of the dilutional effects of conventional component therapy versus whole blood in the management of massively bleeding adult trauma patients. Transfusion. 59(1). 146–158. 16 indexed citations

10.

Stram, Michelle, Jansen N. Seheult, Alan Wells, et al.. (2018). Herpes Simplex Virus-1 qPCR in the Diagnosis of Lower Respiratory Tract Infections in Organ Transplant Recipients and Critically Ill Patients. American Journal of Clinical Pathology. 150(6). 522–532. 4 indexed citations

11.

Seheult, Jansen N., Vincent P. Anto, Michelle Stram, et al.. (2018). Application of a recursive partitioning decision tree algorithm for the prediction of massive transfusion in civilian trauma: the MTPitt prediction tool. Transfusion. 59(3). 953–964. 12 indexed citations

12.

Wang, Jintao, Weihong Zhao, Xin Yang, et al.. (2017). Risk factors for cervical intraepithelial neoplasia and cervical cancer in Chinese women: large study in Jiexiu, Shanxi Province, China. Journal of Cancer. 8(6). 924–932. 32 indexed citations

13.

Stram, Michelle, et al.. (2016). Chronic Pancreatitis. Surgical pathology clinics. 9(4). 643–659. 21 indexed citations

14.

Pradhan, Dinesh, David J. Dabbs, Rohit Bhargava, et al.. (2016). Clinical and Immunohistochemical Study of Uterine Carcinosarcoma in a Large Academic Women’s Center. American Journal of Clinical Pathology. 146(suppl_1). 1 indexed citations

15.

Westerink, M.A. Julie, et al.. (1987). Septicemia due to DF-2. The American Journal of Medicine. 83(1). 155–158. 44 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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