Mark M. Hammer

3.7k total citations · 1 hit paper
126 papers, 2.2k citations indexed

About

Mark M. Hammer is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Mark M. Hammer has authored 126 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Pulmonary and Respiratory Medicine, 46 papers in Radiology, Nuclear Medicine and Imaging and 30 papers in Surgery. Recurrent topics in Mark M. Hammer's work include Lung Cancer Diagnosis and Treatment (45 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Lung Cancer Treatments and Mutations (24 papers). Mark M. Hammer is often cited by papers focused on Lung Cancer Diagnosis and Treatment (45 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Lung Cancer Treatments and Mutations (24 papers). Mark M. Hammer collaborates with scholars based in United States, United Kingdom and Ireland. Mark M. Hammer's co-authors include Barry M. Staw, Gerald R. Salancik, Arun C. Nachiappan, Constantine A. Raptis, Sanjeev Bhalla, Suzanne Byrne, Chung Yin Kong, Eduardo J. Mortani Barbosa, Hiroto Hatabu and Sharyn I. Katz and has published in prestigious journals such as The Journal of Cell Biology, Academy of Management Review and Molecular and Cellular Biology.

In The Last Decade

Mark M. Hammer

106 papers receiving 2.1k 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.

New Directions in Organizational Behavior

1977 446 citations Mark M. Hammer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark M. Hammer United States	20	568	556	447	311	269	126	2.2k
Robert Chin United States	36	1.4k 2.4×	648 1.2×	171 0.4×	763 2.5×	102 0.4×	190	5.8k
Francisco J. Medina Spain	31	243 0.4×	120 0.2×	176 0.4×	433 1.4×	343 1.3×	171	3.8k
Stephanie Williams United States	27	185 0.3×	126 0.2×	411 0.9×	126 0.4×	81 0.3×	107	2.5k
Steven Friedman United States	37	177 0.3×	568 1.0×	86 0.2×	204 0.7×	45 0.2×	160	4.5k
Karen Lee United States	24	718 1.3×	205 0.4×	36 0.1×	831 2.7×	217 0.8×	87	2.6k
David Carr United Kingdom	36	1.2k 2.2×	177 0.3×	77 0.2×	379 1.2×	37 0.1×	197	4.4k
Neil Abramson United States	24	260 0.5×	165 0.3×	47 0.1×	240 0.8×	140 0.5×	64	2.9k
Eva C. Guinan United States	39	516 0.9×	202 0.4×	185 0.4×	894 2.9×	37 0.1×	135	6.4k
Philippe Colombat France	33	359 0.6×	1.4k 2.5×	59 0.1×	255 0.8×	511 1.9×	118	6.3k
Richard R. Smith United States	23	106 0.2×	121 0.2×	124 0.3×	273 0.9×	103 0.4×	92	2.0k

Countries citing papers authored by Mark M. Hammer

Since Specialization

Citations

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

Fields of papers citing papers by Mark M. Hammer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark M. Hammer

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

All Works

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20 of 20 papers shown

Hammer, Mark M., et al.. (2026). Novel Diagnostic Approaches for Eosinophilic Lung Diseases. The Journal of Allergy and Clinical Immunology In Practice. 14(3). 560–574.

Hong, Eun Kyoung, et al.. (2025). Radiologist Interaction with Artificial Intelligence-Generated Preliminary Reports: A Longitudinal Multireader Study. Journal of the American College of Radiology. 23(2). 292–298.

Odintsov, Igor, Mark M. Hammer, Biagio Ricciuti, et al.. (2025). The Genomic Landscape of NSCLC in Systemic Sclerosis Reveals Frequent TP53 Mutations and a Paucity of Actionable Oncogenes. Journal of Thoracic Oncology. 21(3). 103501–103501.

Byrne, Suzanne, et al.. (2024). Comparison of Lung-RADS Version 1.1 and Lung-RADS Version 2022 in Classifying Airway Nodules Detected at Lung Cancer Screening CT. Radiology Cardiothoracic Imaging. 6(1). e230149–e230149. 5 indexed citations

Hammer, Mark M., et al.. (2024). Evaluation and Utilization of Flow Artifacts at CT. Radiographics. 44(5). e230134–e230134.

Byrne, Suzanne & Mark M. Hammer. (2024). Measuring Lung Nodules on Lung Cancer Screening CT: Point—Volumetric Measurement Aids Detection of Nodule Growth. American Journal of Roentgenology. 224(1). e2431441–e2431441.

Hammer, Mark M., et al.. (2024). Abnormal Gas at Chest Radiography: A Primer with CT and 3D Reconstruction Correlation. Radiographics. 44(3). e230146–e230146. 1 indexed citations

Lacson, Ronilda, Neena Kapoor, Jeffrey P. Guenette, et al.. (2023). Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging. American Journal of Roentgenology. 221(3). 377–385. 9 indexed citations

Byrne, Suzanne, et al.. (2023). Rate of benign nodule resection in a lung cancer screening program. Clinical Imaging. 104. 109984–109984. 7 indexed citations

10.

Wada, Noriaki, Yi Li, Takuya Hino, et al.. (2023). Incidence and severity of pulmonary embolism in COVID-19 infection: Ancestral, Alpha, Delta, and Omicron variants. Medicine. 102(48). e36417–e36417. 5 indexed citations

11.

Solomon, Daniel H., Emanuele Mazzola, Lei Zhao, et al.. (2023). Predicting outcomes in esophageal adenocarcinoma following neoadjuvant chemoradiation: Interactions between tumor response and survival. Journal of Thoracic and Cardiovascular Surgery. 168(1). 278–289.e4. 2 indexed citations

12.

Hammer, Mark M., et al.. (2023). 3D Visual Guide to Lines and Stripes in Chest Radiography. Radiographics. 43(9). e230017–e230017.

13.

Schaefer, Inga‐Marie, Adrián Mariño‐Enríquez, Mark M. Hammer, Robert F. Padera, & Lynette M. Sholl. (2023). Recurrent Tumor Suppressor Alterations in Primary Pericardial Mesothelioma. Modern Pathology. 36(9). 100237–100237. 4 indexed citations

14.

Shum, Thomas, et al.. (2022). Imaging Findings of Thoracic Lymphatic Abnormalities. Radiographics. 42(5). 1265–1282. 6 indexed citations

15.

Hammer, Mark M., et al.. (2021). Five-Step Guide to Central Venous Catheter Placement with 3D Anatomic References. Radiographics. 41(5). E149–E150. 1 indexed citations

16.

Hammer, Mark M., et al.. (2021). Cost-Effectiveness of Treatment Thresholds for Subsolid Pulmonary Nodules in CT Lung Cancer Screening. Radiology. 300(3). 586–593. 9 indexed citations

17.

Madan, Rachna, et al.. (2020). A pictorial review of lung torsion using 3D CT cinematic rendering. Emergency Radiology. 28(1). 171–176. 6 indexed citations

18.

Isikbay, Masis, Michael D. Hope, Constantine A. Raptis, et al.. (2020). CT on the Diamond Princess: What Might This Tell Us About Sensitivity for COVID-19?. Radiology Cardiothoracic Imaging. 2(2). e200155–e200155. 13 indexed citations

19.

Schaefer, Inga‐Marie, Robert F. Padera, Isaac H. Solomon, et al.. (2020). In situ detection of SARS-CoV-2 in lungs and airways of patients with COVID-19. Modern Pathology. 33(11). 2104–2114. 201 indexed citations

20.

Hammer, Mark M., Nikesh Kotecha, Jonathan M. Irish, Garry P. Nolan, & Peter O. Krutzik. (2009). WebFlow: A Software Package for High-Throughput Analysis of Flow Cytometry Data. Assay and Drug Development Technologies. 7(1). 44–55. 8 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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