Dolly Kervitsky

1.8k total citations
9 papers, 391 citations indexed

About

Dolly Kervitsky is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Dolly Kervitsky has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Physiology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Dolly Kervitsky's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Occupational and environmental lung diseases (3 papers) and Sarcoidosis and Beryllium Toxicity Research (3 papers). Dolly Kervitsky is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Occupational and environmental lung diseases (3 papers) and Sarcoidosis and Beryllium Toxicity Research (3 papers). Dolly Kervitsky collaborates with scholars based in United States, United Kingdom and Australia. Dolly Kervitsky's co-authors include Kevin K. Brown, Kathy Boon, David A. Schwartz, Marvin I. Schwarz, Steve D. Groshong, Jun Yang, Fernando J. Martínez, Jeffrey J. Swigris, Susan Murray and MeiLan K. Han and has published in prestigious journals such as PLoS ONE, CHEST Journal and The American Journal of the Medical Sciences.

In The Last Decade

Dolly Kervitsky

8 papers receiving 384 citations

Peers

Dolly Kervitsky

PRM

PHYSI

MB

PHEOH

EPIDE

S. Feuillet France

Kosuke Hamai Japan

Paul Beirne United Kingdom

Spasoje Popević Serbia

Isamu Cho Japan

Christian Ascoli United States

Hideki Kusagaya Japan

Nikolina Icitovic United States

Jean‐Claude Guérin France

Luigi Zucchi Italy

S. Feuillet France

Dolly Kervitsky

211 ×0.6

PRM

133 ×1.3

PHYSI

15 ×0.3

MB

19 ×0.4

PHEOH

62 ×1.9

EPIDE

Citations per year, relative to Dolly Kervitsky Dolly Kervitsky (= 1×) peers S. Feuillet

Countries citing papers authored by Dolly Kervitsky

Since Specialization

Citations

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

Fields of papers citing papers by Dolly Kervitsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dolly Kervitsky

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

Brown, Kevin K., Brendan Corcoran, Marilyn K. Glassberg, et al.. (2019). Research in Pulmonary Fibrosis Across Species: Unleashing Discovery Through Comparative Biology. The American Journal of the Medical Sciences. 357(5). 399–404. 3 indexed citations

2.

Roman, Jesse, Dolly Kervitsky, Gregory P. Cosgrove, et al.. (2019). The Fibrosis Across Organs Symposium: A Roadmap for Future Research Priorities. The American Journal of the Medical Sciences. 357(5). 405–410.

3.

Albright, Karen, Tarik Walker, Susan Baird, et al.. (2016). Seeking and sharing: why the pulmonary fibrosis community engages the web 2.0 environment. BMC Pulmonary Medicine. 16(1). 19 indexed citations

4.

Bridges, John F. P., et al.. (2014). Identifying the Benefits and Risks of Emerging Treatments for Idiopathic Pulmonary Fibrosis: A Qualitative Study. Patient. 8(1). 85–92. 15 indexed citations

5.

Schmidt, Shelley L., Nabihah Tayob, MeiLan K. Han, et al.. (2013). Predicting Pulmonary Fibrosis Disease Course From Past Trends in Pulmonary Function. CHEST Journal. 145(3). 579–585. 77 indexed citations

6.

Yang, Ivana V., Janet Talbert, Sonia M. Leach, et al.. (2012). The Peripheral Blood Transcriptome Identifies the Presence and Extent of Disease in Idiopathic Pulmonary Fibrosis. PLoS ONE. 7(6). e37708–e37708. 65 indexed citations

7.

Seibold, Max A., Jia Lin, Dolly Kervitsky, et al.. (2010). The Concentration Of MUC5AC Is Higher In The Air Space Of Idiopathic Pulmonary Fibrosis (IPF) Subjects And Is Associated With A Disease Susceptibility Variant (Ala497Val) In MUC5AC. A2493–A2493. 1 indexed citations

8.

Boon, Kathy, Jun Yang, Steve D. Groshong, et al.. (2009). Molecular Phenotypes Distinguish Patients with Relatively Stable from Progressive Idiopathic Pulmonary Fibrosis (IPF). PLoS ONE. 4(4). e5134–e5134. 134 indexed citations

9.

Swigris, Jeffrey J., Frederick S. Wamboldt, David Sprunger, et al.. (2009). Heart Rate Recovery After 6-Min Walk Test Predicts Survival in Patients With Idiopathic Pulmonary Fibrosis. CHEST Journal. 136(3). 841–848. 77 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.

Explore authors with similar magnitude of impact