Jennifer Han

2.1k total citations
9 papers, 142 citations indexed

About

Jennifer Han is a scholar working on Genetics, Insect Science and Plant Science. According to data from OpenAlex, Jennifer Han has authored 9 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Insect Science and 3 papers in Plant Science. Recurrent topics in Jennifer Han's work include Genetic and Environmental Crop Studies (2 papers), Insect and Pesticide Research (2 papers) and Chromosomal and Genetic Variations (2 papers). Jennifer Han is often cited by papers focused on Genetic and Environmental Crop Studies (2 papers), Insect and Pesticide Research (2 papers) and Chromosomal and Genetic Variations (2 papers). Jennifer Han collaborates with scholars based in United States, United Kingdom and China. Jennifer Han's co-authors include Qingyi Yu, Ray Ming, Paul Stamets, Robert VanBuren, Paul H. Moore, Walter S. Sheppard, Deborah Charlesworth, L. M. Carris, Brandon K. Hopkins and Andrew H. Paterson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Genome biology.

In The Last Decade

Jennifer Han

8 papers receiving 138 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Han United States	7	74	66	45	43	39	9	142
Emmanuel Agyemang Dwomoh Ghana	5	38 0.5×	26 0.4×	5 0.1×	57 1.3×	53 1.4×	8	92
Mark Whitten United States	7	34 0.5×	53 0.8×	66 1.5×	43 1.0×	138 3.5×	8	145
Prapassorn Bussaman Thailand	8	13 0.2×	83 1.3×	69 1.5×	130 3.0×	13 0.3×	12	155
Buncha Chinnasri Thailand	9	10 0.1×	256 3.9×	81 1.8×	109 2.5×	10 0.3×	28	293
Ivana Imerovski Serbia	8	28 0.4×	182 2.8×	51 1.1×	9 0.2×	41 1.1×	18	206
Vanessa Holanda Righetti de Abreu Brazil	8	14 0.2×	51 0.8×	49 1.1×	50 1.2×	116 3.0×	20	143
Yu Bi China	5	32 0.4×	60 0.9×	50 1.1×	59 1.4×	8 0.2×	7	135
Sezgi Biyiklioglu United States	6	38 0.5×	106 1.6×	38 0.8×	30 0.7×	15 0.4×	6	139
Rocío Deanna Argentina	10	24 0.3×	112 1.7×	108 2.4×	2 0.0×	130 3.3×	31	243
Sídia Witter Brazil	10	41 0.6×	74 1.1×	31 0.7×	103 2.4×	110 2.8×	19	175

Countries citing papers authored by Jennifer Han

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Han. A scholar is included among the top collaborators of Jennifer Han 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 Jennifer Han. Jennifer Han 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:

9 of 9 papers shown

1.

Kovach, Alexandra E., Jennifer Han, Cindy Fong, et al.. (2025). Optical Genome Mapping in Pediatric Hematologic Malignancies: High Diagnostic Yield and Unique Insights Across Leukemia Subtypes. Modern Pathology. 39(1). 100937–100937.

2.

Dharmadhikari, Avinash V., Jennifer Han, Xu Dong, et al.. (2025). Optical genome mapping improves clinical interpretation of constitutional copy-number gains and reduces their VUS burden. Genetics in Medicine. 27(8). 101452–101452. 1 indexed citations

3.

Han, Jennifer, et al.. (2021). Directed evolution of Metarhizium fungus improves its biocontrol efficacy against Varroa mites in honey bee colonies. Scientific Reports. 11(1). 10582–10582. 15 indexed citations

4.

Liu, Juan, Jennifer Han, Anupma Sharma, et al.. (2021). Transcriptional regulation of dosage compensation in Carica papaya. Scientific Reports. 11(1). 5854–5854. 6 indexed citations

5.

Stamets, Paul, Jay D. Evans, Jennifer Han, et al.. (2018). Extracts of Polypore Mushroom Mycelia Reduce Viruses in Honey Bees. Scientific Reports. 8(1). 13936–13936. 35 indexed citations

6.

VanBuren, Robert, Ching Man Wai, Jisen Zhang, et al.. (2016). Extremely low nucleotide diversity in the X-linked region of papaya caused by a strong selective sweep. Genome biology. 17(1). 230–230. 15 indexed citations

7.

Han, Jennifer, Jan E. Murray, Qingyi Yu, Paul H. Moore, & Ray Ming. (2014). The Effects of Gibberellic Acid on Sex Expression and Secondary Sexual Characteristics in Papaya. HortScience. 49(3). 378–383. 6 indexed citations

8.

Heath, Katy D., Elizabeth Bagley, John W. Crawford, et al.. (2014). Amplify the Signal: Graduate Training in Broader Impacts of Scientific Research. BioScience. 64(6). 517–523. 19 indexed citations

9.

Gschwend, Andrea R., Qingyi Yu, Eric Tong, et al.. (2012). Rapid divergence and expansion of the X chromosome in papaya. Proceedings of the National Academy of Sciences. 109(34). 13716–13721. 45 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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