Tim Conrad

1.4k total citations · 1 hit paper
55 papers, 942 citations indexed

About

Tim Conrad is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Tim Conrad has authored 55 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Tim Conrad's work include Respiratory viral infections research (9 papers), Influenza Virus Research Studies (7 papers) and Bioinformatics and Genomic Networks (7 papers). Tim Conrad is often cited by papers focused on Respiratory viral infections research (9 papers), Influenza Virus Research Studies (7 papers) and Bioinformatics and Genomic Networks (7 papers). Tim Conrad collaborates with scholars based in Germany, United Kingdom and Switzerland. Tim Conrad's co-authors include Xintian You, Alexander Leichtle, Joachim Thiery, Julia Kase, Martin Fiedler, Uta Ceglarek, Helmut Witzigmann, Barbara Rath, Christof Schütte and Brunhilde Schweiger and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Scientific Reports.

In The Last Decade

Tim Conrad

51 papers receiving 915 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.

Transfer learning for ECG classification

2021 153 citations Tim Conrad et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Conrad Germany	16	354	176	163	148	80	55	942
Xinrui Li China	18	318 0.9×	146 0.8×	140 0.9×	93 0.6×	49 0.6×	59	1.3k
Yanjie Hu China	21	351 1.0×	146 0.8×	101 0.6×	210 1.4×	152 1.9×	88	1.6k
Julia Weng Taiwan	13	228 0.6×	68 0.4×	94 0.6×	43 0.3×	65 0.8×	21	513
Nophar Geifman United Kingdom	17	325 0.9×	87 0.5×	43 0.3×	80 0.5×	77 1.0×	66	1.0k
Andreas Schuppert Germany	21	668 1.9×	113 0.6×	34 0.2×	112 0.8×	78 1.0×	82	1.6k
Jun Murakami Japan	19	215 0.6×	338 1.9×	140 0.9×	65 0.4×	199 2.5×	93	1.5k
David R. Crosslin United States	24	1.1k 3.2×	372 2.1×	307 1.9×	165 1.1×	66 0.8×	64	2.4k
Shuping Li China	19	285 0.8×	94 0.5×	40 0.2×	90 0.6×	49 0.6×	83	1.2k
Michael J. Chappell United Kingdom	21	567 1.6×	74 0.4×	129 0.8×	31 0.2×	29 0.4×	101	1.6k
Jinfang Xu China	21	240 0.7×	129 0.7×	106 0.7×	64 0.4×	54 0.7×	79	1.2k

Countries citing papers authored by Tim Conrad

Since Specialization

Citations

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

Fields of papers citing papers by Tim Conrad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Conrad

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Conrad. A scholar is included among the top collaborators of Tim Conrad 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 Tim Conrad. Tim Conrad 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

Conrad, Tim, et al.. (2025). Integrating Agent-Based and Compartmental Models for Infectious Disease Modeling: A Novel Hybrid Approach. Journal of Artificial Societies and Social Simulation. 28(1). 1 indexed citations

Weiser, Martin R., et al.. (2025). Hybrid PDE–ODE models for efficient simulation of infection spread in epidemiology. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2306).

Conrad, Tim, et al.. (2025). Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Biomedical Question Answering. BioMedInformatics. 5(4). 70–70.

Conrad, Tim, Patrick Obermeier, Xiaolin Ma, et al.. (2024). Disease Burden and Inpatient Management of Children with Acute Respiratory Viral Infections during the Pre-COVID Era in Germany: A Cost-of-Illness Study. Viruses. 16(4). 507–507. 3 indexed citations

Conrad, Tim, et al.. (2024). Clinical Effectiveness of Ritonavir-Boosted Nirmatrelvir—A Literature Review. Advances in respiratory medicine. 92(1). 66–76. 2 indexed citations

Nagel, Kai, et al.. (2023). Explicit modeling of antibody levels for infectious disease simulations in the context of SARS-CoV-2. iScience. 26(9). 107554–107554. 6 indexed citations

Conrad, Tim, et al.. (2023). Understanding microbiome dynamics via interpretable graph representation learning. Scientific Reports. 13(1). 2058–2058. 4 indexed citations

Conrad, Tim, et al.. (2022). An Interpretable Deep Learning Approach for Biomarker Detection in LC-MS Proteomics Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(1). 151–161. 4 indexed citations

Obermeier, Patrick, Albert Heim, Barbara Biere, et al.. (2022). Linking digital surveillance and in-depth virology to study clinical patterns of viral respiratory infections in vulnerable patient populations. iScience. 25(5). 104276–104276. 2 indexed citations

10.

Liang, YongTian, Christine B. Beuschel, Laxmikanth Kollipara, et al.. (2021). eIF5A hypusination, boosted by dietary spermidine, protects from premature brain aging and mitochondrial dysfunction. Cell Reports. 35(2). 108941–108941. 79 indexed citations

11.

Charlton, William, et al.. (2021). MODUS-COVID Bericht vom 09.04.2021. DepositOnce. 2 indexed citations

12.

Charlton, William, et al.. (2020). MODUS-COVID Bericht vom 02.10.2020. DepositOnce. 1 indexed citations

13.

Bjaanæs, Maria Moksnes, et al.. (2019). EMT network-based feature selection improves prognosis prediction in lung adenocarcinoma. PLoS ONE. 14(1). e0204186–e0204186. 6 indexed citations

14.

Rath, Barbara, Tim Conrad, Puja Myles, et al.. (2017). Influenza and other respiratory viruses: standardizing disease severity in surveillance and clinical trials. Expert Review of Anti-infective Therapy. 15(6). 545–568. 27 indexed citations

15.

Seeber, Lea, Tim Conrad, Christian Hoppe, et al.. (2017). Educating parents about the vaccination status of their children: A user-centered mobile application. Preventive Medicine Reports. 5. 241–250. 30 indexed citations

16.

Obermeier, Patrick, Christian Hoppe, Lea Seeber, et al.. (2016). Enabling Precision Medicine With Digital Case Classification at the Point-of-Care. EBioMedicine. 4. 191–196. 21 indexed citations

17.

Gupta, Pooja, N. Reinsch, A. Spötter, Tim Conrad, & Kaspar Bienefeld. (2013). Accuracy of the unified approach in maternally influenced traits - illustrated by a simulation study in the honey bee (Apis mellifera). BMC Genetics. 14(1). 36–36. 15 indexed citations

18.

Aiche, Stephan, Knut Reinert, Christof Schütte, et al.. (2012). Inferring Proteolytic Processes from Mass Spectrometry Time Series Data Using Degradation Graphs. PLoS ONE. 7(7). e40656–e40656. 3 indexed citations

19.

Gupta, Pooja, Tim Conrad, A. Spötter, N. Reinsch, & Kaspar Bienefeld. (2012). Simulating a base population in honey bee for molecular genetic studies. Genetics Selection Evolution. 44(1). 14–14. 3 indexed citations

20.

Fiedler, Martin, Alexander Leichtle, Julia Kase, et al.. (2009). Serum Peptidome Profiling Revealed Platelet Factor 4 as a Potential Discriminating Peptide Associated with Pancreatic Cancer. Clinical Cancer Research. 15(11). 3812–3819. 91 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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