Gajanan Gondhali

476 total citations
56 papers, 248 citations indexed

About

Gajanan Gondhali is a scholar working on Infectious Diseases, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gajanan Gondhali has authored 56 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Infectious Diseases, 18 papers in Neurology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gajanan Gondhali's work include COVID-19 Clinical Research Studies (22 papers), Long-Term Effects of COVID-19 (18 papers) and Tuberculosis Research and Epidemiology (9 papers). Gajanan Gondhali is often cited by papers focused on COVID-19 Clinical Research Studies (22 papers), Long-Term Effects of COVID-19 (18 papers) and Tuberculosis Research and Epidemiology (9 papers). Gajanan Gondhali collaborates with scholars based in India. Gajanan Gondhali's co-authors include Shital Patil, Anant A. Takalkar and Swati Patil and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and Tuberculosis.

In The Last Decade

Gajanan Gondhali

45 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gajanan Gondhali India	10	196	104	69	56	45	56	248
L. Porras Spain	7	119 0.6×	125 1.2×	80 1.2×	11 0.2×	23 0.5×	20	270
Diogo Fernandes dos Santos Brazil	8	158 0.8×	29 0.3×	86 1.2×	27 0.5×	6 0.1×	31	197
Patrick Taeschler Switzerland	6	202 1.0×	184 1.8×	8 0.1×	9 0.2×	12 0.3×	7	331
Alexandra N. Donlan United States	7	137 0.7×	41 0.4×	23 0.3×	2 0.0×	15 0.3×	9	192
Xinyi Xia China	5	178 0.9×	49 0.5×	6 0.1×	11 0.2×	13 0.3×	13	233
Sara Costa Gomes Brazil	6	73 0.4×	8 0.1×	28 0.4×	31 0.6×	14 0.3×	7	180
Oksana V. Stanevich Russia	10	182 0.9×	87 0.8×	4 0.1×	7 0.1×	10 0.2×	21	220
Lucie Rodriguez Sweden	3	91 0.5×	44 0.4×	12 0.2×	5 0.1×	14 0.3×	9	151
C. M. Haring Germany	3	95 0.5×	43 0.4×	9 0.1×	4 0.1×	16 0.4×	7	147

Countries citing papers authored by Gajanan Gondhali

Since Specialization

Citations

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

Fields of papers citing papers by Gajanan Gondhali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gajanan Gondhali

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

Patil, Shital, et al.. (2023). Nintedanib as an Antifibrotic in Post Covid Lung Fibrosis: Are we Really Overestimating?. 4(2). 16–26. 6 indexed citations

Patil, Shital, et al.. (2023). Infodemic- A new rapidly evolving virtual communicable pandemic with global threat! Hypothetical or real?. 4(2). 12–31. 3 indexed citations

Patil, Shital, et al.. (2023). Immune Dysregulation during and after COVID-19: “Tomorrow Never Dies” Situation. 5(3). 1 indexed citations

Patil, Shital, et al.. (2023). Satellite Nodules with Pericavitary Consolidation Presenting As ‘Black Hole in the Starry Sky Pattern’ in HRCT Thorax: A Strong Predictor of Active Pulmonary Tuberculosis!. 5(4). 92–100. 1 indexed citations

Patil, Shital, et al.. (2023). Long COVID symptoms, pathophysiology and possible mechanisms: Still, we are learning!. 4(1). 53–65. 6 indexed citations

Patil, Shital & Gajanan Gondhali. (2023). Treatment of GERD Irrespective of Symptoms and Severity in COPD: To be or not to be!. 5(3). 53–62.

Patil, Shital, et al.. (2023). Radiological Patterns Integration with Duration of Illness in COVID-19 Pneumonia as ‘Evolved’ and ‘Evolving’ Radiological Phenotypes: A Single Center Experience. Journal of Medicine. 24(2). 71–81. 5 indexed citations

Patil, Shital, et al.. (2023). LSC - 2023 - “Clinical and immunological phenotypes” in ‘Long COVID’: The tsunami of multisystem syndrome of this decade!. PA2327–PA2327.

Patil, Shital, et al.. (2023). Role of endobronchial needle aspiration during bronchoscopy in exophytic endobronchial lesions. SHILAP Revista de lepidopterología. 3(1). 35–42.

10.

Gondhali, Gajanan, et al.. (2023). ‘Stepladder Lung Cavities’ with ‘Starry Sky Pattern’ in HRCT Thorax with Constitutional Symptoms: A Strong Predictor of Active Pulmonary Tuberculosis. 4(2). 32–42. 8 indexed citations

11.

Patil, Shital, et al.. (2023). Cardiac dysfunction in active pulmonary tuberculosis: Mysterious facts of TB’s pandora. Electronic Journal of General Medicine. 20(2). em452–em452. 8 indexed citations

12.

Patil, Shital, et al.. (2023). Phenotypes in ‘Long COVID’ presenting as ‘tsunami of multisystem syndrome’ of this decade: Is it really preventable or occurs as natural course of disease?. PA2057–PA2057.

13.

Patil, Shital, et al.. (2023). Small airway disease: A new “phenotype” of obstructive airway disease. SHILAP Revista de lepidopterología. 2(1). 42–50. 2 indexed citations

14.

Patil, Shital, et al.. (2022). Role of Ferritin as “Core Marker” in the Assessment of Severity, Response to Therapy and Predicting Outcome in COVID-19 Pneumonia: A Large, Two-Center, Prospective, Observational Study of 1000 Cases in Tertiary Care Setting in India. SHILAP Revista de lepidopterología. 11(3). 253–260. 10 indexed citations

15.

Patil, Shital, et al.. (2022). Does Current COVID-19 is First Coronavirus-Related Global Pandemic or History Traced to 19th Century as an Unidentified COVID 1.0 Disease “Russian Flu” Apart from Severe Acute Respiratory Syndrome and Middle East Respiratory syndrome?. SHILAP Revista de lepidopterología. 3(2). 35–38.

16.

Patil, Shital, et al.. (2022). Does IL-6 level help in assessment of severity in COVID-19 Pneumonia, and predicting radiological outcome? Tertiary care center experience of 1000 COVID-19 cases in India. The Journal of Medical Research. 8(2). 62–68. 8 indexed citations

17.

Patil, Shital, et al.. (2022). Pulmonary tuberculosis with cardiac dysfunction: An ignored combination!. Electronic Journal of General Medicine. 20(1). em437–em437. 2 indexed citations

18.

Gondhali, Gajanan, et al.. (2022). RADIOLOGICAL PHENOTYPES' IN COVID-19 PNEUMONIA: RETROSPECTIVE, MULTICENTRIC STUDY OF 6000 CASES IN TERTIARY CARE SETTING IN INDIA. CHEST Journal. 161(6). A537–A537. 10 indexed citations

19.

Patil, Shital, et al.. (2020). Cardiac Dysfunction in Active Pulmonary Tuberculosis: Double Trouble!!. Tuberculosis. 1604–1604. 5 indexed citations

20.

Gondhali, Gajanan, et al.. (2020). Cardiac Dysfunction in Active Pulmonary Tuberculosis: Underestimated, Missed Routinely and Have Impact on Clinical Outcome!; Prospective Study of 600 Cases in Tertiary Care Setting in India. A5435–A5435. 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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