David Kartchner

646 total citations · 1 hit paper
13 papers, 369 citations indexed

About

David Kartchner is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, David Kartchner has authored 13 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Artificial Intelligence and 2 papers in Infectious Diseases. Recurrent topics in David Kartchner's work include Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Artificial Intelligence in Healthcare (2 papers). David Kartchner is often cited by papers focused on Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Artificial Intelligence in Healthcare (2 papers). David Kartchner collaborates with scholars based in United States, Netherlands and Canada. David Kartchner's co-authors include Michelle Hofmann, Elizabeth A. Joy, Jacob S. Lefler, Denitza Blagev, C. Arden Pope, Per H. Gesteland, E. Kent Korgenski, Benjamin D. Horne, John B. Cannon and Cassie S. Mitchell and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Cancers.

In The Last Decade

David Kartchner

12 papers receiving 361 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.

Short-Term Elevation of Fine Particulate Matter Air Pollution and Acute Lower Respiratory Infection

2018 275 citations Benjamin D. Horne, Elizabeth A. Joy et al. American Journal of Respiratory and Critical Care Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Kartchner United States	7	219	78	46	45	41	13	369
Iny Jhun United States	12	440 2.0×	94 1.2×	146 3.2×	28 0.6×	20 0.5×	24	629
Ziting Wu China	12	201 0.9×	28 0.4×	61 1.3×	36 0.8×	13 0.3×	18	411
Kevin Josey United States	9	185 0.8×	76 1.0×	25 0.5×	22 0.5×	9 0.2×	23	326
Jinhua Pan China	14	181 0.8×	193 2.5×	33 0.7×	15 0.3×	18 0.4×	40	624
Siqi Ai China	11	303 1.4×	48 0.6×	84 1.8×	56 1.2×	4 0.1×	22	433
Emanuele Rizzo Italy	9	138 0.6×	129 1.7×	51 1.1×	8 0.2×	9 0.2×	21	375
Baijun Sun China	13	404 1.8×	31 0.4×	102 2.2×	82 1.8×	4 0.1×	25	611
Claire Demoury Belgium	14	310 1.4×	96 1.2×	102 2.2×	7 0.2×	21 0.5×	27	599
Jin Guo China	6	357 1.6×	54 0.7×	157 3.4×	44 1.0×	4 0.1×	13	449
Chi-Chang Ho Taiwan	10	235 1.1×	35 0.4×	123 2.7×	22 0.5×	3 0.1×	17	339

Countries citing papers authored by David Kartchner

Since Specialization

Citations

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

Fields of papers citing papers by David Kartchner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kartchner

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Kartchner, David, et al.. (2025). TrialSieve: A Comprehensive Biomedical Information Extraction Framework for PICO, Meta-Analysis, and Drug Repurposing. Bioengineering. 12(5). 486–486.

2.

Kartchner, David, et al.. (2023). Literature-Based Discovery to Elucidate the Biological Links between Resistant Hypertension and COVID-19. Biology. 12(9). 1269–1269. 3 indexed citations

3.

Kartchner, David, et al.. (2023). Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models. 396–405. 16 indexed citations

4.

Chen, Xinyu, et al.. (2023). Hematological Adverse Events with Tyrosine Kinase Inhibitors for Chronic Myeloid Leukemia: A Systematic Review with Meta-Analysis. Cancers. 15(17). 4354–4354. 6 indexed citations

5.

Kartchner, David, et al.. (2023). BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis. PubMed. 2023. 2913–2923. 2 indexed citations

6.

Kartchner, David, et al.. (2023). A Comprehensive Evaluation of Biomedical Entity Linking Models. PubMed. 2023. 14462–14478. 4 indexed citations

7.

Kartchner, David, et al.. (2022). Rule-Enhanced Active Learning for Semi-Automated Weak Supervision. SHILAP Revista de lepidopterología. 3(1). 211–228. 4 indexed citations

8.

Kartchner, David, et al.. (2022). Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0. Big Data and Cognitive Computing. 6(1). 27–27. 11 indexed citations

9.

Kartchner, David, et al.. (2021). Biomedical Text Link Prediction for Drug Discovery: A Case Study with COVID-19. Pharmaceutics. 13(6). 794–794. 23 indexed citations

10.

Horne, Benjamin D., Elizabeth A. Joy, Michelle Hofmann, et al.. (2018). Short-Term Elevation of Fine Particulate Matter Air Pollution and Acute Lower Respiratory Infection. American Journal of Respiratory and Critical Care Medicine. 198(6). 759–766. 275 indexed citations breakdown →

11.

Humpherys, Jeffrey, et al.. (2018). Machine Learning Methods for Disease Prediction with Claims Data. 467–4674. 15 indexed citations

12.

Kartchner, David, et al.. (2017). Cost Reduction via Patient Targeting and Outreach: A Statistical Approach. 513–517. 2 indexed citations

13.

Kartchner, David, et al.. (2017). Code2Vec: Embedding and Clustering Medical Diagnosis Data. 386–390. 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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