James Java

2.4k total citations
56 papers, 1.7k citations indexed

About

James Java is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, James Java has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Reproductive Medicine, 29 papers in Obstetrics and Gynecology and 23 papers in Surgery. Recurrent topics in James Java's work include Ovarian cancer diagnosis and treatment (35 papers), Endometrial and Cervical Cancer Treatments (28 papers) and Intraperitoneal and Appendiceal Malignancies (19 papers). James Java is often cited by papers focused on Ovarian cancer diagnosis and treatment (35 papers), Endometrial and Cervical Cancer Treatments (28 papers) and Intraperitoneal and Appendiceal Malignancies (19 papers). James Java collaborates with scholars based in United States, Canada and Australia. James Java's co-authors include Joan L. Walker, Bradley J. Monk, Deborah K. Armstrong, Frederick B. Stehman, Rachelle Lanciano, Kathleen N. Moore, Gillian Thomas, Krishnansu S. Tewari, Charles W. Whitney and John K. Chan and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Infectious Diseases and American Journal of Obstetrics and Gynecology.

In The Last Decade

James Java

54 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Java United States	19	892	759	522	341	262	56	1.7k
Wendy R. Brewster United States	24	739 0.8×	864 1.1×	363 0.7×	429 1.3×	288 1.1×	77	1.9k
Polat Dursun Türkiye	24	573 0.6×	584 0.8×	457 0.9×	270 0.8×	297 1.1×	103	1.5k
Jill Nation Canada	25	591 0.7×	590 0.8×	503 1.0×	400 1.2×	512 2.0×	70	1.7k
Eva Chalas United States	23	507 0.6×	525 0.7×	521 1.0×	469 1.4×	191 0.7×	82	1.7k
Luigi Frigerio Italy	26	827 0.9×	961 1.3×	582 1.1×	289 0.8×	126 0.5×	88	2.2k
Michael McHale United States	21	352 0.4×	610 0.8×	325 0.6×	463 1.4×	343 1.3×	87	1.4k
C. W. E. Redman United Kingdom	22	559 0.6×	502 0.7×	487 0.9×	348 1.0×	460 1.8×	58	1.6k
Jvan Casarin Italy	33	1.6k 1.8×	2.0k 2.7×	820 1.6×	292 0.9×	367 1.4×	175	3.0k
Maitray D. Patel United States	27	945 1.1×	629 0.8×	653 1.3×	218 0.6×	116 0.4×	93	2.6k
Michael K. Bohlmann Germany	24	540 0.6×	545 0.7×	320 0.6×	161 0.5×	139 0.5×	118	1.7k

Countries citing papers authored by James Java

Since Specialization

Citations

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

Fields of papers citing papers by James Java

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Java

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

20 of 20 papers shown

Friedländer, Michael, James Java, John K. Chan, et al.. (2022). What proportion of patients with stage 3 ovarian cancer are potentially cured following intraperitoneal chemotherapy? Analysis of the long term (≥10 years) survivors in NRG/GOG randomized clinical trials of intraperitoneal and intravenous chemotherapy in stage III ovarian cancer. Gynecologic Oncology. 166(3). 410–416. 6 indexed citations

Grier, Alex, Ann Gill, Anthony Corbett, et al.. (2020). Temporal Dysbiosis of Infant Nasal Microbiota Relative to Respiratory Syncytial Virus Infection. The Journal of Infectious Diseases. 223(9). 1650–1658. 17 indexed citations

Mammen, Jennifer R., James Java, Jill S. Halterman, et al.. (2020). A mixed‐methods analysis of younger adults' perceptions of asthma, self‐management, and preventive care: "This isn't helping me none". Clinical & Experimental Allergy. 51(1). 63–77. 6 indexed citations

Olawaiye, Alexander, James Java, Thomas C. Krivak, et al.. (2018). Does adjuvant chemotherapy dose modification have an impact on the outcome of patients diagnosed with advanced stage ovarian cancer? An NRG Oncology/Gynecologic Oncology Group study. Gynecologic Oncology. 151(1). 18–23. 16 indexed citations

Branche, Angela R, Hongmei Yang, James Java, et al.. (2018). Effect of prior vaccination on carriage rates of Streptococcus pneumoniae in older adults: A longitudinal surveillance study. Vaccine. 36(29). 4304–4310. 18 indexed citations

Bishop, Erin, James Java, Kathleen N. Moore, et al.. (2017). Surgical outcomes among elderly women with endometrial cancer treated by laparoscopic hysterectomy: a NRG/Gynecologic Oncology Group study. American Journal of Obstetrics and Gynecology. 218(1). 109.e1–109.e11. 40 indexed citations

Bishop, Erin, James Java, Kathleen N. Moore, & Joan L. Walker. (2017). Pathologic and Treatment Outcomes Among a Geriatric Population of Endometrial Cancer Patients. International Journal of Gynecological Cancer. 27(4). 730–737. 13 indexed citations

Java, James, David E. Cohn, Shashikant B. Lele, et al.. (2016). Does time interval between surgery and intraperitoneal chemotherapy administration in advanced ovarian cancer carry a prognostic impact? An NRG Oncology/Gynecologic Oncology Group study ancillary study. Gynecologic Oncology. 143(3). 484–489. 6 indexed citations

Moore, Kathleen N., James Java, Peter G. Rose, et al.. (2016). Is age a prognostic biomarker for survival among women with locally advanced cervical cancer treated with chemoradiation? An NRG Oncology/Gynecologic Oncology Group ancillary data analysis. Gynecologic Oncology. 143(2). 294–301. 31 indexed citations

10.

Rose, Peter G., James Java, Mark A. Morgan, et al.. (2016). Disease extent at secondary cytoreductive surgery is predictive of progression-free and overall survival in advanced stage ovarian cancer: An NRG Oncology/Gynecologic Oncology Group study. Gynecologic Oncology. 143(3). 511–515. 7 indexed citations

11.

Tewari, Devansu, James Java, Ritu Salani, et al.. (2015). Long-Term Survival Advantage and Prognostic Factors Associated With Intraperitoneal Chemotherapy Treatment in Advanced Ovarian Cancer. Obstetrical & Gynecological Survey. 70(8). 505–506. 2 indexed citations

12.

Rose, Peter G., James Java, Charles W. Whitney, et al.. (2015). Nomograms Predicting Progression-Free Survival, Overall Survival, and Pelvic Recurrence in Locally Advanced Cervical Cancer Developed From an Analysis of Identifiable Prognostic Factors in Patients From NRG Oncology/Gynecologic Oncology Group Randomized Trials of Chemoradiotherapy. PMC. 3 indexed citations

13.

Tewari, Krishnansu S., James Java, Ramez N. Eskander, Bradley J. Monk, & Robert A. Burger. (2015). Early initiation of chemotherapy following complete resection of advanced ovarian cancer associated with improved survival: NRG Oncology/Gynecologic Oncology Group study. Annals of Oncology. 27(1). 114–121. 91 indexed citations

14.

Java, James. (2015). Characterization of Prose by Rhetorical Structure for Machine Learning Classification. NSUWorks (Nova Southeastern University). 4 indexed citations

15.

Fuh, Katherine C., James Java, Daniel S. Kapp, et al.. (2015). Comparison of clear cell ovarian cancer in Asian versus Caucasians: A NRG/GOG study.. Journal of Clinical Oncology. 33(15_suppl). e16572–e16572. 1 indexed citations

16.

Previs, Rebecca A., Kerri S. Bevis, Warner K. Huh, et al.. (2014). A prognostic nomogram to predict overall survival in women with recurrent ovarian cancer treated with bevacizumab and chemotherapy. Gynecologic Oncology. 132(3). 531–536. 24 indexed citations

17.

Bishop, Erin, James Java, Kathleen N. Moore, & Joan L. Walker. (2014). Operative outcomes among a geriatric population of endometrial cancer patients: An ancillary data analysis of Gynecologic Oncology Group study LAP2. Gynecologic Oncology. 133. 7–7. 4 indexed citations

18.

Eskander, Ramez N., et al.. (2013). Negative survival impact associated with >25 day interval from surgical cytoreduction to initiation of systemic therapy in advanced ovarian carci- noma: A Gynecologic Oncology Group ancillary data study. Gynecologic Oncology. 130(1). e22–e23. 3 indexed citations

19.

Chan, John K., James Java, Bradley J. Monk, et al.. (2013). Patterns of crossover to antiangiogenesis agents in recurrent ovarian cancer patients: An analysis of a Gynecologic Oncology Group ancillary data study (GOG#218, abstract). Gynecologic Oncology. 130(1). e122–e122.

20.

Milam, Michael R., James Java, Joan L. Walker, et al.. (2011). Incidence of nodal metastasis in endometrioid endometrial cancer risk groups: A Gynecologic Oncology Group multicenter review. Gynecologic Oncology. 120. S4–S4. 11 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