Anna Boehm

1.2k total citations
10 papers, 169 citations indexed

About

Anna Boehm is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Neurology. According to data from OpenAlex, Anna Boehm has authored 10 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Infectious Diseases and 4 papers in Neurology. Recurrent topics in Anna Boehm's work include Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), COVID-19 Clinical Research Studies (5 papers) and Long-Term Effects of COVID-19 (4 papers). Anna Boehm is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), COVID-19 Clinical Research Studies (5 papers) and Long-Term Effects of COVID-19 (4 papers). Anna Boehm collaborates with scholars based in Austria, Germany and Iran. Anna Boehm's co-authors include Judith Löffler‐Ragg, Ivan Tancevski, Alex Pizzini, Günter Weiß, Thomas Sonnweber, Sabina Sahanic, Claudia Lamina, Anna Luger, Gerlig Widmann and Piotr Tymoszuk and has published in prestigious journals such as Scientific Reports, Radiology and European Respiratory Journal.

In The Last Decade

Anna Boehm

9 papers receiving 164 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Boehm Austria	6	72	70	63	21	19	10	169
Muhammad Hayat Pakistan	5	31 0.4×	62 0.9×	53 0.8×	23 1.1×	18 0.9×	9	159
Alessia Fumagalli Italy	10	72 1.0×	187 2.7×	67 1.1×	22 1.0×	17 0.9×	18	300
Rehan Saeed United States	8	82 1.1×	33 0.5×	149 2.4×	15 0.7×	58 3.1×	25	277
Ruben Mylvaganam United States	6	31 0.4×	57 0.8×	38 0.6×	20 1.0×	9 0.5×	21	125
Bruno Biselli Brazil	5	29 0.4×	19 0.3×	40 0.6×	18 0.9×	16 0.8×	29	129
Alessandro Scartabellati Italy	8	29 0.4×	120 1.7×	62 1.0×	44 2.1×	14 0.7×	12	214
Martina Zappa Italy	9	76 1.1×	55 0.8×	136 2.2×	17 0.8×	5 0.3×	34	270
Yewande Odeyemi United States	7	99 1.4×	49 0.7×	131 2.1×	35 1.7×	18 0.9×	26	231
Daisy Khera India	8	60 0.8×	24 0.3×	77 1.2×	22 1.0×	6 0.3×	38	172
Stefano Pini Italy	8	86 1.2×	158 2.3×	91 1.4×	75 3.6×	24 1.3×	16	237

Countries citing papers authored by Anna Boehm

Since Specialization

Citations

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

Fields of papers citing papers by Anna Boehm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Boehm

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

All Works

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10 of 10 papers shown

Widmann, Gerlig, Anna Luger, Thomas Sonnweber, et al.. (2025). Machine Learning Based Multi-Parameter Modeling for Prediction of Post-Inflammatory Lung Changes. Diagnostics. 15(6). 783–783. 1 indexed citations

Sonnweber, Thomas, Alex Pizzini, Anna Boehm, et al.. (2023). Pulmonary recovery from COVID-19 in patients with metabolic diseases: a longitudinal prospective cohort study. Scientific Reports. 13(1). 2599–2599. 3 indexed citations

Sonnweber, Thomas, Piotr Tymoszuk, Sabina Sahanic, et al.. (2022). Investigating phenotypes of pulmonary COVID-19 recovery: A longitudinal observational prospective multicenter trial. eLife. 11. 27 indexed citations

Luger, Anna, Thomas Sonnweber, Leonhard Gruber, et al.. (2022). Chest CT of Lung Injury 1 Year after COVID-19 Pneumonia: The CovILD Study. Radiology. 304(2). 462–470. 57 indexed citations

Boehm, Anna, Christian Uprimny, Bernhard Nilica, et al.. (2022). Enhancing Clinical Diagnosis for Patients With Persistent Pulmonary Abnormalities After COVID-19 Infection. Clinical Nuclear Medicine. 47(12). 1026–1029. 9 indexed citations

Boehm, Anna, Magdalena Aichner, Thomas Sonnweber, et al.. (2021). COPD exacerbations are related to poor air quality in Innsbruck: A retrospective pilot study. Heart & Lung. 50(4). 499–503. 5 indexed citations

Boehm, Anna, Anna Luger, Katja Schmitz, et al.. (2021). A spark of hope: histopathological and functional recovery after critical COVID-19. Infection. 50(1). 263–267. 5 indexed citations

Sahanic, Sabina, Anna Boehm, Alex Pizzini, et al.. (2020). Assessing self-medication for obstructive airway disease during COVID-19 usingGoogle Trends. European Respiratory Journal. 56(5). 2002851–2002851. 9 indexed citations

Beyer, Christoph, Alex Pizzini, Anna Boehm, et al.. (2020). Current symptom-based risk scores for stable coronary artery disease evaluation are not applicable in COPD patients. ERJ Open Research. 6(4). 492–2020. 2 indexed citations

10.

Boehm, Anna, Alex Pizzini, Thomas Sonnweber, et al.. (2019). Assessing global COPD awareness with Google Trends. European Respiratory Journal. 53(6). 1900351–1900351. 51 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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