M. Daniel Brannock

1.2k total citations
16 papers, 77 citations indexed

About

M. Daniel Brannock is a scholar working on Epidemiology, Infectious Diseases and Neurology. According to data from OpenAlex, M. Daniel Brannock has authored 16 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Infectious Diseases and 4 papers in Neurology. Recurrent topics in M. Daniel Brannock's work include COVID-19 Clinical Research Studies (4 papers), Cybercrime and Law Enforcement Studies (4 papers) and Long-Term Effects of COVID-19 (4 papers). M. Daniel Brannock is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), Cybercrime and Law Enforcement Studies (4 papers) and Long-Term Effects of COVID-19 (4 papers). M. Daniel Brannock collaborates with scholars based in United States, Netherlands and Switzerland. M. Daniel Brannock's co-authors include Tomas Baer, Bálint Sztáray, András Bödi, Neal D. Ryan, Levent Kirisci, Lynn Langton, Marguerite DeLiema, Thomas R. Kosten, Siyu Gao and Robert Chew and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Chemistry Chemical Physics and PLoS Medicine.

In The Last Decade

M. Daniel Brannock

14 papers receiving 75 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Daniel Brannock United States	4	28	15	14	14	13	16	77
J. F. Marchand France	5	24 0.9×	26 1.7×	2 0.1×		7 0.5×	10	58
H. Kubota Japan	2	22 0.8×	6 0.4×			7 0.5×	3	34
Ryan P. Brady United Kingdom	4	18 0.6×	23 1.5×			10 0.8×	12	43
Suranjan K. Paul United States	4	26 0.9×	8 0.5×			3 0.2×	6	42
Salma Bejaoui United States	4	31 1.1×	14 0.9×			8 0.6×	6	62
Alan E. Rask United States	5	43 1.5×	15 1.0×			3 0.2×	8	77
Aditya M. Arabhavi Netherlands	6	12 0.4×	31 2.1×			15 1.2×	7	79
K. Kodama Japan	2	49 1.8×	25 1.7×			4 0.3×	2	54
Marissa Vlasblom Netherlands	6	8 0.3×	23 1.5×			10 0.8×	9	67
Jan Henning Keßler Germany	3	60 2.1×	22 1.5×			9 0.7×	5	78

Countries citing papers authored by M. Daniel Brannock

Since Specialization

Citations

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

Fields of papers citing papers by M. Daniel Brannock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Daniel Brannock

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

All Works

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16 of 16 papers shown

Brannock, M. Daniel, Ryan Whitworth, Thomas R. Kosten, et al.. (2025). Emulating a randomized clinical trial with real-world data to evaluate the effect of antidepressant use in PTSD patients with high suicide risk. Frontiers in Psychiatry. 15. 1526488–1526488. 1 indexed citations

Brannock, M. Daniel, et al.. (2025). A Framework for the Design of Privacy-Preserving Record Linkage Systems. Journal of Cybersecurity and Privacy. 5(3). 44–44. 1 indexed citations

Preiss, Alexander, M. Daniel Brannock, John M. Baratta, et al.. (2025). Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia. The Lancet Digital Health. 7(8). 100887–100887. 1 indexed citations

Preiss, Alexander, Abhishek Bhatia, John M. Baratta, et al.. (2025). Effect of Paxlovid treatment during acute COVID-19 on Long COVID onset: An EHR-based target trial emulation from the N3C and RECOVER consortia. PLoS Medicine. 22(9). e1004711–e1004711. 1 indexed citations

Bhatia, Abhishek, Alexander Preiss, M. Daniel Brannock, et al.. (2025). Effect of nirmatrelvir/ritonavir (Paxlovid) on hospitalization among adults with COVID-19: An electronic health record-based target trial emulation from N3C. PLoS Medicine. 22(1). e1004493–e1004493. 2 indexed citations

Yoo, Yun Jae, Carolyn T. Bramante, Jane E.B. Reusch, et al.. (2025). Association of glycemic control with Long COVID in patients with type 2 diabetes: findings from the National COVID Cohort Collaborative (N3C). BMJ Open Diabetes Research & Care. 13(1). e004536–e004536.

DeLiema, Marguerite, Lynn Langton, M. Daniel Brannock, & Edward A. Preble. (2024). Fraud victimization across the lifespan: evidence on repeat victimization using perpetrator data. Journal of Elder Abuse & Neglect. 36(3). 227–250. 3 indexed citations

Brannock, M. Daniel, Ryan Whitworth, Thomas R. Kosten, et al.. (2024). Integrating Drug Target Information in Deep Learning Models to Predict the Risk of Adverse Events in Patients with Comorbid Post-Traumatic Stress Disorder and Alcohol Use Disorder. Biomedicines. 12(12). 2772–2772. 1 indexed citations

DeLiema, Marguerite, Siyu Gao, M. Daniel Brannock, & Lynn Langton. (2024). The Effects of Risky Behaviors and Social Factors on the Frequency of Fraud Victimization Among Known Victims. Innovation in Aging. 9(2). igae111–igae111. 2 indexed citations

10.

Wang, Haohan, M. Daniel Brannock, Thomas R. Kosten, et al.. (2024). DeepBiomarker2: Prediction of Alcohol and Substance Use Disorder Risk in Post-Traumatic Stress Disorder Patients Using Electronic Medical Records and Multiple Social Determinants of Health. Journal of Personalized Medicine. 14(1). 94–94. 6 indexed citations

11.

Hadley, Emily, Yun Jae Yoo, Bryan Laraway, et al.. (2024). Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVID. SHILAP Revista de lepidopterología. 4(1). 129–129. 18 indexed citations

12.

Brannock, M. Daniel, Thomas R. Kosten, Neal D. Ryan, et al.. (2024). Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records. BMC Medical Informatics and Decision Making. 24(1). 154–154. 1 indexed citations

13.

Wang, Haohan, M. Daniel Brannock, Thomas R. Kosten, et al.. (2024). Prediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models. Drug and Alcohol Dependence. 255. 111066–111066. 5 indexed citations

14.

Langton, Lynn, Marguerite DeLiema, M. Daniel Brannock, & Edward Alexander Preble. (2024). Using Scammers’ Data to Estimate the Impact and Importance of Preventing Repeat Mail Fraud Victimization. The British Journal of Criminology. 65(1). 163–181. 2 indexed citations

15.

DeLiema, Marguerite, Lynn Langton, M. Daniel Brannock, & Edward A. Preble. (2023). AGING AND MASS MARKETING FRAUD: EVIDENCE ON REPEAT VICTIMIZATION USING PERPETRATOR DATA. Innovation in Aging. 7(Supplement_1). 260–260.

16.

Bödi, András, M. Daniel Brannock, Bálint Sztáray, & Tomas Baer. (2012). Tunneling in H loss from energy selected ethanol ions. Physical Chemistry Chemical Physics. 14(46). 16047–16047. 33 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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