Deepak Khatry

2.6k total citations · 1 hit paper
22 papers, 1.9k citations indexed

About

Deepak Khatry is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Deepak Khatry has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 10 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in Deepak Khatry's work include Asthma and respiratory diseases (11 papers), Respiratory and Cough-Related Research (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers). Deepak Khatry is often cited by papers focused on Asthma and respiratory diseases (11 papers), Respiratory and Cough-Related Research (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers). Deepak Khatry collaborates with scholars based in United States, Brazil and Poland. Deepak Khatry's co-authors include David Gossage, Trung N. Tran, Christine K. Ward, Wansu Chen, Qiaowu Li, Robert S. Zeiger, Michael Schatz, Ronald A. DePinho, Cameron Brennan and Lynda Chin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and Molecular and Cellular Biology.

In The Last Decade

Deepak Khatry

21 papers receiving 1.9k 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.

Benralizumab, an anti-interleukin 5 receptor α monoclonal antibody, versus placebo for uncontrolled eosinophilic asthma: a phase 2b randomised dose-ranging study

2014 362 citations Mario Castro, Sally E. Wenzel et al. The Lancet Respiratory Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Khatry United States	15	847	739	702	320	274	22	1.9k
Michael Boedigheimer United States	23	587 0.7×	277 0.4×	513 0.7×	593 1.9×	274 1.0×	38	1.8k
Preeti Lal United States	11	688 0.8×	568 0.8×	336 0.5×	328 1.0×	97 0.4×	22	1.7k
Dror Berel United States	25	231 0.3×	407 0.6×	700 1.0×	241 0.8×	366 1.3×	53	1.9k
R. Scott Pearsall United States	25	296 0.3×	376 0.5×	1.4k 2.0×	98 0.3×	300 1.1×	62	2.4k
Tim H. Brümmendorf Germany	22	244 0.3×	219 0.3×	753 1.1×	251 0.8×	325 1.2×	86	1.6k
Oliver Bechter Belgium	24	367 0.4×	214 0.3×	767 1.1×	238 0.7×	603 2.2×	95	1.7k
Michael Weinreich United States	19	295 0.3×	650 0.9×	1.3k 1.9×	868 2.7×	348 1.3×	52	2.8k
Bradley A. Stohr United States	22	304 0.4×	587 0.8×	951 1.4×	175 0.5×	381 1.4×	69	2.1k
Christian Kersting Germany	22	241 0.3×	294 0.4×	790 1.1×	140 0.4×	440 1.6×	42	1.6k
Tauro Maria Neri Italy	21	86 0.1×	316 0.4×	591 0.8×	496 1.6×	609 2.2×	51	2.2k

Countries citing papers authored by Deepak Khatry

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Khatry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Khatry

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

Zeiger, Robert S., Michael Schatz, Qiaowu Li, et al.. (2017). Burden of Chronic Oral Corticosteroid Use by Adults with Persistent Asthma. The Journal of Allergy and Clinical Immunology In Practice. 5(4). 1050–1060.e9. 53 indexed citations

Zeiger, Robert S., Trung N. Tran, Rebecca K. Butler, et al.. (2017). Relationship of Blood Eosinophil Count to Exacerbations in Chronic Obstructive Pulmonary Disease. The Journal of Allergy and Clinical Immunology In Practice. 6(3). 944–954.e5. 57 indexed citations

Zeiger, Robert S., Michael Schatz, Qiaowu Li, et al.. (2015). The association of blood eosinophil counts to future asthma exacerbations in children with persistent asthma. The Journal of Allergy and Clinical Immunology In Practice. 3(2). 283–287.e4. 28 indexed citations

Hénault, Jill, Jeffrey M. Riggs, Jodi L. Karnell, et al.. (2015). Self-reactive IgE exacerbates interferon responses associated with autoimmunity. Nature Immunology. 17(2). 196–203. 126 indexed citations

Khatry, Deepak, David Gossage, Gregory P. Geba, et al.. (2015). Discriminating sputum-eosinophilic asthma: Accuracy of cutoffs in blood eosinophil measurements versus a composite index, ELEN. Journal of Allergy and Clinical Immunology. 136(3). 812–814.e2. 23 indexed citations

Zeiger, Robert S., Michael Schätz, Qiaowu Li, et al.. (2015). Characteristics and Outcomes of HEDIS-Defined Asthma Patients with COPD Diagnostic Coding. The Journal of Allergy and Clinical Immunology In Practice. 4(2). 273–283.e5. 4 indexed citations

Zeiger, Robert S., Michael Schätz, Wansu Chen, et al.. (2015). Adherent uncontrolled adult persistent asthma: Characteristics and asthma outcomes. The Journal of Allergy and Clinical Immunology In Practice. 3(6). 986–990.e2. 10 indexed citations

Tran, Trung N., et al.. (2015). Relationship of blood eosinophil count to exacerbations in asthma patients with a COPD diagnosis. PA3391–PA3391.

Castro, Mario, Sally E. Wenzel, Roland Kolbeck, et al.. (2014). Late-breaking abstract: A phase 2 study of benralizumab on exacerbations, lung function, and asthma control in adults with uncontrolled eosinophilic asthma. European Respiratory Journal. 44(Suppl 58). 2909–2909. 3 indexed citations

10.

Zeiger, Robert S., Michael Schatz, Qiaowu Li, et al.. (2014). High Blood Eosinophil Count Is a Risk Factor for Future Asthma Exacerbations in Adult Persistent Asthma. The Journal of Allergy and Clinical Immunology In Practice. 2(6). 741–750.e4. 188 indexed citations

11.

Tran, Trung N., et al.. (2014). High blood eosinophil count is associated with more frequent asthma attacks in asthma patients. Annals of Allergy Asthma & Immunology. 113(1). 19–24. 137 indexed citations

12.

Castro, Mario, Sally E. Wenzel, Eugene R. Bleecker, et al.. (2014). Benralizumab, an anti-interleukin 5 receptor α monoclonal antibody, versus placebo for uncontrolled eosinophilic asthma: a phase 2b randomised dose-ranging study. The Lancet Respiratory Medicine. 2(11). 879–890. 362 indexed citations breakdown →

13.

Parker, John R., Leo Wolansky, Deepak Khatry, Gregory P. Geba, & Néstor A. Molfino. (2010). Brain magnetic resonance imaging in adults with asthma. Contemporary Clinical Trials. 32(1). 86–89. 16 indexed citations

14.

Maher, Elizabeth A., Cameron Brennan, Patrick Y. Wen, et al.. (2006). Marked Genomic Differences Characterize Primary and Secondary Glioblastoma Subtypes and Identify Two Distinct Molecular and Clinical Secondary Glioblastoma Entities. Cancer Research. 66(23). 11502–11513. 140 indexed citations

15.

Carrasco, Daniel R., Giovanni Tonon, Yongsheng Huang, et al.. (2006). High-resolution genomic profiles define distinct clinico-pathogenetic subgroups of multiple myeloma patients. Cancer Cell. 9(4). 313–325. 291 indexed citations

16.

Tonon, Giovanni, Cameron Brennan, Alexei Protopopov, et al.. (2005). Common and Contrasting Genomic Profiles among the Major Human Lung Cancer Subtypes. Cold Spring Harbor Symposia on Quantitative Biology. 70(0). 11–24. 13 indexed citations

17.

Tonon, Giovanni, Kwok‐Kin Wong, Gautam Maulik, et al.. (2005). High-resolution genomic profiles of human lung cancer. Proceedings of the National Academy of Sciences. 102(27). 9625–9630. 284 indexed citations

18.

DePrimo, Samuel E., Deepak Khatry, William C. Manning, et al.. (2003). Expression profiling of blood samples from an SU5416 Phase III metastatic colorectal cancer clinical trial: a novel strategy for biomarker identification. BMC Cancer. 3(1). 3–3. 77 indexed citations

19.

Khatry, Deepak & Gary W. Fowler. (1996). Estimating diameter at breast height and basal diameter of trees from stump measurements in Nepal's lower temperate broad-leaved forests. Forest Ecology and Management. 81(1-3). 75–84. 23 indexed citations

20.

Khatry, Deepak & Gary W. Fowler. (1996). Prediction models for estimating total heights of trees from diameter at breast height measurements in Nepal's lower temperate broad-leaved forests. Forest Ecology and Management. 84(1-3). 177–186. 5 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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