Kunal Jindal

772 total citations · 1 hit paper
4 papers, 283 citations indexed

About

Kunal Jindal is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Kunal Jindal has authored 4 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Epidemiology and 1 paper in Cell Biology. Recurrent topics in Kunal Jindal's work include Single-cell and spatial transcriptomics (3 papers), Gene Regulatory Network Analysis (3 papers) and Zebrafish Biomedical Research Applications (1 paper). Kunal Jindal is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Gene Regulatory Network Analysis (3 papers) and Zebrafish Biomedical Research Applications (1 paper). Kunal Jindal collaborates with scholars based in United States. Kunal Jindal's co-authors include Kenji Kamimoto, Samantha A. Morris, Christy M. Hoffmann, Blerta Stringa, Lilianna Solnica‐Krezel, Xue Yang, Guillermo C. Rivera-Gonzalez, Naoto Yamaguchi, Wenjun Kong and Rachel L. Mintz and has published in prestigious journals such as Nature, Nature Biotechnology and Cell stem cell.

In The Last Decade

Kunal Jindal

3 papers receiving 282 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.

Dissecting cell identity via network inference and in silico gene perturbation

2023 228 citations Kenji Kamimoto, Blerta Stringa et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kunal Jindal United States	3	244	33	32	28	15	4	283
Amy F. Chen United States	5	233 1.0×	45 1.4×	15 0.5×	24 0.9×	26 1.7×	5	263
Kian Kalhor United States	3	223 0.9×	52 1.6×	34 1.1×	21 0.8×	26 1.7×	4	258
Qianhao Wang China	7	289 1.2×	64 1.9×	28 0.9×	25 0.9×	28 1.9×	15	332
Eliza Barkan Germany	2	165 0.7×	37 1.1×	22 0.7×	32 1.1×	11 0.7×	2	190
Bernhard Reuter Germany	4	255 1.0×	48 1.5×	42 1.3×	60 2.1×	40 2.7×	7	335
Madeleine Duran United States	5	225 0.9×	43 1.3×	25 0.8×	58 2.1×	14 0.9×	6	267
Lucas Seninge United States	5	165 0.7×	36 1.1×	28 0.9×	43 1.5×	12 0.8×	8	236
Daniel Mamott United States	4	353 1.4×	62 1.9×	44 1.4×	17 0.6×	10 0.7×	4	385
Ramon Massoni-Badosa Spain	2	155 0.6×	30 0.9×	18 0.6×	26 0.9×	22 1.5×	2	184
Laura F. Grice Australia	5	240 1.0×	41 1.2×	26 0.8×	51 1.8×	18 1.2×	8	299

Countries citing papers authored by Kunal Jindal

Since Specialization

Citations

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

Fields of papers citing papers by Kunal Jindal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunal Jindal

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

All Works

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4 of 4 papers shown

1.

Rivera-Gonzalez, Guillermo C., Rachel L. Mintz, Wenjun Kong, et al.. (2025). Comparative single-cell lineage tracing identifies distinct adipocyte precursor dynamics in skin and inguinal fat. Cell stem cell. 32(8). 1267–1284.e8.

2.

Kamimoto, Kenji, Blerta Stringa, Christy M. Hoffmann, et al.. (2023). Dissecting cell identity via network inference and in silico gene perturbation. Nature. 614(7949). 742–751. 228 indexed citations breakdown →

3.

Jindal, Kunal, Naoto Yamaguchi, Xue Yang, et al.. (2023). Single-cell lineage capture across genomic modalities with CellTag-multi reveals fate-specific gene regulatory changes. Nature Biotechnology. 42(6). 946–959. 33 indexed citations

4.

Kamimoto, Kenji, Kunal Jindal, Christy M. Hoffmann, et al.. (2022). Gene regulatory network reconfiguration in direct lineage reprogramming. Stem Cell Reports. 18(1). 97–112. 22 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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