H.M. Giannini

2.2k total citations
8 papers, 340 citations indexed

About

H.M. Giannini is a scholar working on Epidemiology, Family Practice and Pulmonary and Respiratory Medicine. According to data from OpenAlex, H.M. Giannini has authored 8 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 2 papers in Family Practice and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in H.M. Giannini's work include Sepsis Diagnosis and Treatment (6 papers), Machine Learning in Healthcare (2 papers) and Clinical Reasoning and Diagnostic Skills (2 papers). H.M. Giannini is often cited by papers focused on Sepsis Diagnosis and Treatment (6 papers), Machine Learning in Healthcare (2 papers) and Clinical Reasoning and Diagnostic Skills (2 papers). H.M. Giannini collaborates with scholars based in United States and India. H.M. Giannini's co-authors include Jennifer C. Ginestra, Michael J. Lynch, Michael Draugelis, Corey Chivers, Barry D. Fuchs, Craig A. Umscheid, William D. Schweickert, Patrick J. Donnelly, C. William Hanson and Asaf Hanish and has published in prestigious journals such as Critical Care Medicine, Intensive Care Medicine and Critical Care.

In The Last Decade

H.M. Giannini

6 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H.M. Giannini United States	4	194	164	71	52	46	8	340
Fereshteh Razmi United States	2	309 1.6×	275 1.7×	78 1.1×	67 1.3×	52 1.1×	2	516
Jens Schierbeck Denmark	10	174 0.9×	112 0.7×	33 0.5×	8 0.2×	40 0.9×	24	502
Samson Mataraso United States	10	218 1.1×	219 1.3×	109 1.5×	45 0.9×	83 1.8×	22	559
Markus Lingman Sweden	12	58 0.3×	127 0.8×	49 0.7×	18 0.3×	76 1.7×	29	424
Timothy Albertson United States	4	199 1.0×	77 0.5×	9 0.1×	21 0.4×	35 0.8×	6	379
Emily Gilbert United States	10	266 1.4×	58 0.4×	15 0.2×	31 0.6×	11 0.2×	24	451
Shaun T Alfreds United States	8	117 0.6×	134 0.8×	52 0.7×	9 0.2×	101 2.2×	12	455
Jennifer C. Ginestra United States	6	216 1.1×	181 1.1×	73 1.0×	58 1.1×	49 1.1×	16	366
Chris W. Barton United States	3	239 1.2×	233 1.4×	45 0.6×	53 1.0×	55 1.2×	5	392
Emily Pellegrini United States	13	243 1.3×	207 1.3×	88 1.2×	32 0.6×	68 1.5×	25	611

Countries citing papers authored by H.M. Giannini

Since Specialization

Citations

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

Fields of papers citing papers by H.M. Giannini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H.M. Giannini

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Jones, Tiffanie K., H.M. Giannini, R. Avery Bennett, et al.. (2025). Identifying a unique signature of sepsis in patients with pre-existing cirrhosis. Critical Care. 29(1). 199–199.

2.

Henry, Katharine E. & H.M. Giannini. (2024). Early Warning Systems for Critical Illness Outside the Intensive Care Unit. Critical Care Clinics. 40(3). 561–581. 1 indexed citations

3.

Reilly, John P., M.G.S. Shashaty, Todd A. Miano, et al.. (2023). ABO Histo-Blood Group and the von Willebrand Factor Axis in Severe COVID-19. PubMed. 1(3). 100023–100023.

4.

Miano, Todd A., Sean Hennessy, Wei Yang, et al.. (2022). Association of vancomycin plus piperacillin–tazobactam with early changes in creatinine versus cystatin C in critically ill adults: a prospective cohort study. Intensive Care Medicine. 48(9). 1144–1155. 45 indexed citations

5.

Thiboutot, Jeffrey, Momen M. Wahidi, Catherine A. Meldrum, et al.. (2022). Bronchoalveolar Lavage (BAL) and Pathologic Assessment of Electronic Cigarette or Vaping Product Use-associated Lung Injury (EVALI). Journal of Bronchology & Interventional Pulmonology. 30(2). 144–154. 3 indexed citations

6.

Giannini, H.M. & Nuala J. Meyer. (2021). Genetics of Acute Respiratory Distress Syndrome. Critical Care Clinics. 37(4). 817–834. 2 indexed citations

7.

Ginestra, Jennifer C., H.M. Giannini, William D. Schweickert, et al.. (2019). Clinician Perception of a Machine Learning–Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock*. Critical Care Medicine. 47(11). 1477–1484. 114 indexed citations

8.

Giannini, H.M., Jennifer C. Ginestra, Corey Chivers, et al.. (2019). A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice*. Critical Care Medicine. 47(11). 1485–1492. 175 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.

Explore authors with similar magnitude of impact