David D. Koch

1.9k total citations
51 papers, 1.3k citations indexed

About

David D. Koch is a scholar working on Physiology, Infectious Diseases and Surgery. According to data from OpenAlex, David D. Koch has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 7 papers in Infectious Diseases and 7 papers in Surgery. Recurrent topics in David D. Koch's work include Clinical Laboratory Practices and Quality Control (8 papers), SARS-CoV-2 detection and testing (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). David D. Koch is often cited by papers focused on Clinical Laboratory Practices and Quality Control (8 papers), SARS-CoV-2 detection and testing (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). David D. Koch collaborates with scholars based in United States, Italy and Australia. David D. Koch's co-authors include Peter T. Kissinger, Viola Vaccarino, Mary K. Rhee, Lawrence S. Phillips, William S. Weintraub, K.M. Venkat Narayan, Paul Kolm, Jennifer G. Twombly, Donald H. Feldbruegge and Jane K. Dickinson and has published in prestigious journals such as JAMA, Annals of Internal Medicine and Analytical Chemistry.

In The Last Decade

David D. Koch

51 papers receiving 1.2k 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 D. Koch United States 20 360 226 174 170 129 51 1.3k
M.G. Bissell United States 21 189 0.5× 161 0.7× 105 0.6× 302 1.8× 204 1.6× 232 1.8k
Brad S. Karon United States 23 354 1.0× 325 1.4× 98 0.6× 336 2.0× 241 1.9× 96 1.7k
David Colantonio Canada 18 204 0.6× 589 2.6× 62 0.4× 223 1.3× 169 1.3× 39 1.5k
John H. Livesey New Zealand 17 197 0.5× 308 1.4× 51 0.3× 297 1.7× 72 0.6× 28 1.6k
Anthony A. Killeen United States 24 324 0.9× 226 1.0× 66 0.4× 295 1.7× 257 2.0× 86 2.1k
Ronda F. Greaves Australia 23 342 0.9× 273 1.2× 38 0.2× 406 2.4× 95 0.7× 105 1.8k
Raffick A.R. Bowen United States 21 105 0.3× 446 2.0× 30 0.2× 289 1.7× 240 1.9× 44 1.4k
David Seccombe Canada 24 293 0.8× 480 2.1× 41 0.2× 416 2.4× 230 1.8× 57 1.6k
Qingshan Zheng China 22 142 0.4× 127 0.6× 182 1.0× 351 2.1× 156 1.2× 129 1.7k
Thomas Kerbusch Netherlands 22 84 0.2× 75 0.3× 164 0.9× 411 2.4× 132 1.0× 47 1.9k

Countries citing papers authored by David D. Koch

Since Specialization
Citations

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

Fields of papers citing papers by David D. Koch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David D. Koch

This figure shows the co-authorship network connecting the top 25 collaborators of David D. Koch. A scholar is included among the top collaborators of David D. Koch 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 D. Koch. David D. Koch 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.
Kumánovics, Attila, Stacy E.F. Melanson, Tanzy Love, et al.. (2024). Performance of Three Anti-SARS-CoV-2 Anti-S and One Anti-N Immunoassays for the Monitoring of Immune Status and Vaccine Response. Viruses. 16(2). 292–292. 1 indexed citations
2.
Zhao, Zhen, Attila Kumánovics, Tanzy Love, et al.. (2023). T Cell Responses Correlate with Self-Reported Disease Severity and Neutralizing Antibody Responses Predict Protection against SARS-CoV-2 Breakthrough Infection. Viruses. 15(3). 709–709. 5 indexed citations
3.
Melanson, Stacy E.F., Karen Schulz, Zhen Zhao, et al.. (2023). Large-Scale Scientific Study Led by a Professional Organization during the COVID-19 Pandemic: Operations, Best Practices, and Lessons Learned. The Journal of Applied Laboratory Medicine. 9(2). 371–385. 1 indexed citations
4.
Kiernan, Emily, Joseph Carpenter, Tim P. Moran, et al.. (2022). Elevated methemoglobin levels in patients treated with hydroxocobalamin: a case series and in-vitro analysis. Clinical Toxicology. 60(9). 1012–1018. 3 indexed citations
5.
Melanson, Stacy E.F., Zhen Zhao, Attila Kumánovics, et al.. (2022). Tolerance for three commonly administered COVID-19 vaccines by healthcare professionals. Frontiers in Public Health. 10. 975781–975781. 8 indexed citations
6.
Kiernan, Emily, Joseph Carpenter, David D. Koch, et al.. (2020). Elevated Methemoglobin Levels in a Patient Treated with Hydroxocobalamin After Suspected Cyanide Exposure. Journal of Emergency Medicine. 59(5). e157–e162. 5 indexed citations
7.
Murray, Brian, Maryam Salehi, Tim P. Moran, et al.. (2019). Does Lidocaine Cause False Positive Results on Cocaine Urine Drug Screen?. Journal of Medical Toxicology. 15(4). 255–261. 2 indexed citations
8.
Caudill, Samuel P., David D. Koch, James L. Ritchie, et al.. (2014). Albumin adsorption onto surfaces of urine collection and analysis containers. Clinica Chimica Acta. 431. 40–45. 5 indexed citations
9.
Molinaro, Ross J., Anne Winkler, Colleen S. Kraft, et al.. (2012). Teaching Laboratory Medicine to Medical Students: Implementation and Evaluation. Archives of Pathology & Laboratory Medicine. 136(11). 1423–1429. 19 indexed citations
10.
Phillips, Lawrence S., D. C. Ziemer, Paul Kolm, et al.. (2009). Glucose challenge test screening for prediabetes and undiagnosed diabetes. Diabetologia. 52(9). 1798–1807. 51 indexed citations
11.
Ziemer, David C., Paul Kolm, Jovonne K. Foster, et al.. (2008). Random Plasma Glucose in Serendipitous Screening for Glucose Intolerance: Screening for Impaired Glucose Tolerance Study 2. Journal of General Internal Medicine. 23(5). 528–535. 41 indexed citations
12.
Ziemer, David C., Paul Kolm, Mary K. Rhee, et al.. (2008). The “metabolic syndrome” is less useful than random plasma glucose to screen for glucose intolerance. Primary care diabetes. 2(3). 147–153. 9 indexed citations
13.
Paulson, William D., et al.. (1998). Wide Variation in Serum Anion Gap Measurements by Chemistry Analyzers. American Journal of Clinical Pathology. 110(6). 735–742. 9 indexed citations
14.
Koch, David D.. (1996). How to evaluate and implement new technologies in an era of managed care and cost containment.. PubMed. 42(5). 797–802. 4 indexed citations
15.
Koch, David D.. (1996). How to evaluate and implement new technologies in an era of managed care and cost containment. Clinical Chemistry. 42(5). 797–802. 4 indexed citations
16.
Koch, David D.. (1990). Fructosamine: How Useful Is It?. Laboratory Medicine. 21(8). 497–503. 6 indexed citations
17.
Koch, David D., et al.. (1985). An evaluation of the Du Pont aca IV: does it meet medical needs?. Clinical Chemistry. 31(2). 281–286. 1 indexed citations
18.
Koch, David D. & Jack H. Ladenson. (1983). Errors in determination of potassium in physiological fluids with valinomycin electrodes. Analytical Chemistry. 55(11). 1807–1809. 7 indexed citations
19.
Koch, David D., D. D. Parrish, & Jack H. Ladenson. (1983). Evaluation of a direct potentiometric method for sodium and potassium used in the Du Pont aca.. Clinical Chemistry. 29(6). 1090–1092. 8 indexed citations
20.
Ladenson, Jack H., et al.. (1982). Sodium measurements in multiple myeloma: two techniques compared.. PubMed. 28(12). 2383–6. 27 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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