David M. Nierman

3.2k total citations
37 papers, 2.2k citations indexed

About

David M. Nierman is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, David M. Nierman has authored 37 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 12 papers in Epidemiology and 11 papers in Critical Care and Intensive Care Medicine. Recurrent topics in David M. Nierman's work include Sepsis Diagnosis and Treatment (11 papers), Respiratory Support and Mechanisms (10 papers) and Intensive Care Unit Cognitive Disorders (7 papers). David M. Nierman is often cited by papers focused on Sepsis Diagnosis and Treatment (11 papers), Respiratory Support and Mechanisms (10 papers) and Intensive Care Unit Cognitive Disorders (7 papers). David M. Nierman collaborates with scholars based in United States and United Kingdom. David M. Nierman's co-authors include Jeffrey I. Mechanick, Judith E. Nelson, Diane E. Meier, Jeffrey S. Groeger, Kristen Price, R. Sean Morrison, Erwin Oei, Paolo L. Manfredi, Harold Brem and Thomas P. Bleck and has published in prestigious journals such as Journal of Clinical Oncology, Blood and CHEST Journal.

In The Last Decade

David M. Nierman

36 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Nierman United States 20 707 704 582 365 325 37 2.2k
Werther Brunow de Carvalho Brazil 25 488 0.7× 500 0.7× 876 1.5× 233 0.6× 627 1.9× 241 2.7k
Thomas Staudinger Austria 32 764 1.1× 589 0.8× 1.3k 2.3× 303 0.8× 620 1.9× 151 3.5k
Theresa O’Connor United States 25 596 0.8× 358 0.5× 533 0.9× 217 0.6× 876 2.7× 60 4.3k
Larry S. Jefferson United States 20 592 0.8× 287 0.4× 783 1.3× 150 0.4× 461 1.4× 48 2.5k
David Miedinger Switzerland 24 1.1k 1.5× 501 0.7× 1.7k 3.0× 531 1.5× 97 0.3× 85 3.4k
Ravindranath Tiruvoipati Australia 26 559 0.8× 755 1.1× 1.8k 3.0× 182 0.5× 1.1k 3.5× 104 4.2k
Heidi L. Frankel United States 30 497 0.7× 1.3k 1.9× 526 0.9× 290 0.8× 1.8k 5.7× 113 3.9k
A. Joseph Layon United States 28 534 0.8× 794 1.1× 1.0k 1.7× 229 0.6× 697 2.1× 98 3.5k
Dennis C. Gore United States 31 1.3k 1.8× 281 0.4× 486 0.8× 418 1.1× 454 1.4× 75 3.0k
Antonio Rodrı́guez-Núñez Spain 33 746 1.1× 300 0.4× 1.3k 2.2× 612 1.7× 836 2.6× 289 4.4k

Countries citing papers authored by David M. Nierman

Since Specialization
Citations

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

Fields of papers citing papers by David M. Nierman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Nierman

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

All Works

20 of 20 papers shown
1.
Brem, Harold, J. Carlos Maggi, David M. Nierman, et al.. (2010). High cost of stage IV pressure ulcers. The American Journal of Surgery. 200(4). 473–477. 254 indexed citations
2.
Mechanick, Jeffrey I., Kan Liu, David M. Nierman, & Adam Stein. (2006). Effect of a Convenient Single 90-mg Pamidronate Dose on Biochemical Markers of Bone Metabolism in Patients With Acute Spinal Cord Injury. Journal of Spinal Cord Medicine. 29(4). 406–412. 19 indexed citations
3.
Groeger, Jeffrey S., Jill R. Glassman, David M. Nierman, et al.. (2003). Probability of mortality of critically ill cancer patients at 72�h of intensive care unit (ICU) management. Supportive Care in Cancer. 11(11). 686–695. 27 indexed citations
4.
Nierman, David M.. (2002). A structure of care for the chronically critically ill. Critical Care Clinics. 18(3). 477–491. 44 indexed citations
5.
Nierman, David M., et al.. (2002). Critical illness neuromuscular abnormalities. Critical Care Clinics. 18(3). 553–568. 29 indexed citations
6.
Brem, Harold, David M. Nierman, & Judith E. Nelson. (2002). Pressure ulcers in the chronically critically ill patient. Critical Care Clinics. 18(3). 683–694. 31 indexed citations
7.
Nierman, David M., et al.. (2001). Combined Calcitriol-Pamidronate Therapy For Bone Hyperresorption In Spinal Cord Injury. Journal of Spinal Cord Medicine. 24(4). 235–240. 14 indexed citations
8.
Bach, Peter B., Deborah Schrag, David M. Nierman, et al.. (2001). Identification of poor prognostic features among patients requiring mechanical ventilation after hematopoietic stem cell transplantation. Blood. 98(12). 3234–3240. 69 indexed citations
9.
Nierman, David M., Clyde B. Schechter, Lisa Cannon, & Diane E. Meier. (2001). Outcome prediction model for very elderly critically ill patients. Critical Care Medicine. 29(10). 1853–1859. 68 indexed citations
10.
Nierman, David M. & Jeffrey I. Mechanick. (2000). Biochemical Response to Treatment of Bone Hyperresorption in Chronically Critically Ill Patients. CHEST Journal. 118(3). 761–766. 46 indexed citations
11.
Gajdos, Csaba, et al.. (2000). Microscopic Pulmonary Tumor Emboli: An Unusual Presentation of Breast Cancer. The Breast Journal. 6(4). 273–275. 5 indexed citations
12.
Nierman, David M. & Jeffrey I. Mechanick. (1999). Hypotestosteronemia in chronically critically ill men. Critical Care Medicine. 27(11). 2418–2421. 63 indexed citations
13.
Groeger, Jeffrey S., Stanley Lemeshow, Kristen Price, et al.. (1998). Multicenter outcome study of cancer patients admitted to the intensive care unit: a probability of mortality model.. Journal of Clinical Oncology. 16(2). 761–770. 182 indexed citations
14.
Nierman, David M. & Jeffrey I. Mechanick. (1998). Bone Hyperresorption Is Prevalent in Chronically Critically III Patients. CHEST Journal. 114(4). 1122–1128. 75 indexed citations
15.
Golub, Robert, et al.. (1994). Efficacy of albumin supplementation in the surgical intensive care unit. Critical Care Medicine. 22(4). 613–619. 82 indexed citations
16.
Dicpinigaitis, Peter V., et al.. (1993). Baclofen-Induced Bronchoconstriction. Annals of Pharmacotherapy. 27(7-8). 883–884. 8 indexed citations
17.
Conetta, Rick & David M. Nierman. (1992). Pneumocephalus following nasotracheal intubation. Annals of Emergency Medicine. 21(1). 100–102. 12 indexed citations
18.
Nierman, David M.. (1991). Core temperature measurement in the intensive care unit. Critical Care Medicine. 19(6). 818–823. 79 indexed citations
19.
Ilowite, Jonathan, et al.. (1989). Permeability of the Bronchial Mucosa to 99m Tc-DTPA in Asthma. American Review of Respiratory Disease. 139(5). 1139–1143. 67 indexed citations
20.
Antoine, G., David M. Nierman, Jonathan Ilowite, Richard N. Pierson, & A. L. Loomis Bell. (1988). Bilateral Upper Lobe Pneumocystis carinii Pneumonia in a Patient Receiving Inhaled Pentamidine Prophylaxis. CHEST Journal. 94(2). 329–331. 62 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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